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Responsible for maintaining and enhancing systems responsible for enabling connectivity for connected devices. The role involves software development, troubleshooting, and performance optimization of applications and associated backend components used in network connectivity and access management.

Key Duties / Responsibilities

• Maintain and enhance existing IP provisioning applications and supporting databases.
• Develop / Enhance and maintain systems and services supporting network connectivity and access management in connected device ecosystems.
• Develop and deploy feature enhancements, automation scripts, and API integrations.
• Troubleshoot and resolve issues related to IP allocation of workflows, database performance, and system uptime.
• Collaborate with networking and infrastructure teams to ensure accurate and efficient provisioning operations.
• Ensure adherence to software quality, version control, and change management processes.
• Maintain clear documentation of architecture, releases, and deployment processes.

Leadership Skills

• Executes technical tasks independently with minimal supervision.
• Participates in design reviews and contributes to system modernization efforts.
• Demonstrates ownership of assigned modules and ensures on-time delivery.
• Provides mentorship and support to junior engineers when needed.

Required Technical Skills

• 6–8 years of hands-on experience with Go (Golang) development.
• Strong experience with relational databases (e.g., MSSQL, MySQL) and SQL optimization.
• Working knowledge of C#, ASP.NET, IIS
• Solid debugging, performance tuning, and analytical problem-solving skills.
• Experience in backend API design, microservices, and system integration.
• Understanding networking fundamentals, especially IP address management concepts (preferred).
• Ability and willingness to learn new tools, technologies, and programming languages.
• Good working knowledge of observability concepts and tools.

Qualification

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Responsible for supporting the maintenance, testing, and incremental improvement of network authentication and IP provisioning systems that enable large-scale connectivity. This role provides an opportunity to develop expertise in connectivity enablement systems, including RADIUS-based authentication and IP management applications.

Key Duties / Responsibilities

• Assist in maintenance, testing, and deployment of connectivity-related backend systems.
• Support debugging and troubleshooting activities for authentication and provisioning workflows.
• Develop scripts and utilities for automation, data validation, and health checks.
• Participate in incident analysis, documentation, and production support activities.
• Collaborate with senior engineers to implement feature enhancements and improve reliability.

Leadership Skills

• Demonstrates curiosity, accountability, and willingness to learn new technologies.
• Takes initiative in completing assigned tasks and contributing to team goals.
• Collaborates effectively with peers and follows guidance from senior team members.

Required Technical Skills

• 3–6 years of experience in software development or system operations.
• Working knowledge of C#, ASP.NET, IIS
• Experience with version control systems.
• Working knowledge with relational databases
• Demonstrates willingness to learn and acquire additional programming languages and tools as needed.
• Knowledge of Linux fundamentals with scripting (Python/Bash) preferred

Qualification

Bachelor’s degree in Computer Science, Information Technology, or equivalent.

Responsible for leading the design, maintenance, and enhancement of network authentication and IP address provisioning systems that enable connectivity services. These systems form the backbone of connectivity enablement, handling subscriber authentication, and automated IP address allocation for connected devices. The role involves technical leadership, design oversight, and collaboration across cross-functional teams to ensure performance, scalability, and reliability.

Key Duties / Responsibilities

• Defines the technical vision, guides architectural decisions, mentors engineers, and ensures the team delivers high-quality, scalable solutions aligned with business goals and architectural standards.
• Define technical direction, system architecture, and design principles for high-performance and highly available connectivity systems.
• Drive root-cause analysis and resolution of complex production issues.
• Collaborate with infrastructure, network, and operations teams to ensure end-to-end system reliability.
• Establish development standards, testing practices, and observability improvements.
• Mentor team members and foster a culture of accountability, collaboration, and technical excellence.
• Prepare and maintain technical documentation, design blueprints, and improvement proposals.

Leadership Skills

• Demonstrates strong ownership and accountability mindset.
• Effectively communicates with stakeholders across engineering and operations teams.
• Leads by example and provides mentoring to engineers across experience levels.
• Proactively identifies risks and drives continuous improvement initiatives.
• Balances strategic thinking with hands-on technical problem-solving.

Required Technical Skills

• 8–12 years of experience in backend or system-level software development.
• Proficiency in Go language, C# / ASP.NET and IIS.
• Proficiency in Linux environments, and relational databases (MSSQL/MySQL).
• Ability to design, implement, and maintain distributed architectures with an emphasis on scalability, resiliency, and high availability.
• Knowledge of CI/CD, monitoring tools (eg. Datadog / Grafana, Prometheus), and containerized deployments preferred.
• Strong debugging, performance tuning, and troubleshooting capabilities.
• Demonstrates willingness to learn and acquire additional programming languages and tools as needed.

Qualification

Bachelor’s degree in Computer Science, Information Technology, or related field. Advanced certifications in networking or cloud computing are desirable.

As a Principal System Engineer, you will play a critical role in modernizing and transforming our multi–data center infrastructure. You will guide the systems engineering function through a major architectural shift as we deploy a new network across our data centers.

In this role, you will work at the intersection of systems engineering, networking, and data center operations. You’ll take ownership of evaluating downstream impacts of network changes on servers, applications, clustering, and failover configurations; redesigning system parameters; planning cutover activities; and coordinating with multiple technology teams to ensure a smooth and disruption-free migration. Your work will directly influence the reliability, performance, and future readiness of our enterprise environment.

Key duties/ responsibilities

• Lead efforts to transition servers and enterprise systems from spanned VLANs to newly designed VLANs in alignment with the new network architecture.
• Assess downstream impact of VLAN changes on applications, clustering, failover, and dependencies.
• Plan and coordinate IP addressing, routing adjustments, and system reconfiguration activities across multiple teams.
• Create detailed migration runbooks and risk mitigation plans.
• Work alongside network engineering to support the rollout of the new network in data centers.
• Validate system connectivity, firewall dependencies, and network segmentation during and after deployment.
• Provide technical guidance and clarity on system impacts, sequencing, timelines, and required testing.
• Own the systems engineering workstream for data center modernization projects.
• Ensure systems are compliant with architectural standards, security mandates, and operational best practices

Skills Required:

• 10+ years of experience in systems engineering, infrastructure engineering, or data center operations.
• Deep expertise in enterprise networking concepts from a systems perspective, including VLANs, routing, firewalls, and segmentation.
• Strong experience with storage networking, including SAN fabrics, multipathing, zoning, iSCSI, Fibre Channel, and understanding how storage networks interact with clustered and virtualized environments.
• Strong understanding of clustered services, high availability, and application dependency mapping.
• Extensive experience supporting large data centers, multi-site architectures, and migration projects.
• Proficiency with Windows/Linux servers, virtualization platforms, configuration management, and automation tools.
• Excellent analytical skills to assess downstream impact of infrastructure changes.
• Strong communication and coordination skills, with the ability to work cross-functionally in large teams.

Nice to have:

• Experience with large-scale data center modernization or infrastructure transformation programs.
• Hands-on exposure to automation tools such as Ansible, Terraform, or PowerShell DSC for system configuration and network-aware deployments.
• Knowledge of cloud platforms (AWS, Azure, or GCP) and hybrid connectivity models.
• Experience working with container platforms (Kubernetes, OpenShift) and associated networking/storage implications.
• Understanding of load balancing technologies (F5, NGINX, HAProxy) and application delivery concepts.
• Skills in monitoring and observability platforms (Prometheus, Grafana, Splunk, ELK, Zabbix, etc.).
• Familiarity with identity and access management, including Active Directory, Radius/TACACS, or modern IAM solutions.
• Experience with disaster recovery planning, multi-site failover, and business continuity design.
• Experience with scripting or programming (Python, PowerShell, Bash) for automation or orchestration workflows.

Experience

• 10+ Years

We are looking for an experienced Inside Sales Lead / Manager with 7 –12 years of proven success in enterprise application sales for the US market. This role is critical in strengthening our sales pipeline for digital engineering, enterprise solutions, and technology services. The ideal candidate brings strong outbound prospecting skills, a structured sales approach, and the ability to engage with decision-makers across mid-market and enterprise clients.

Key duties/ responsibilities:

• Identify and qualify potential customers in the US market through structured outbound outreach (calls, emails, LinkedIn, and targeted campaigns).
• Build and manage a predictable sales pipeline aligned with Gadgeon’s enterprise and digital engineering offerings.
• Conduct discovery calls to understand customer needs, pain points, and solution fit.
• Present Gadgeon’s capabilities clearly and position our enterprise solutions to technical and business stakeholders.
• Work closely with marketing, pre-sales, and delivery teams to prepare proposals, pitch decks, and solution briefs.
• Maintain accurate tracking of leads, opportunities, and conversions using CRM tools.
• Provide regular updates on pipeline health, forecast accuracy, and lead quality.
• Nurture long-term relationships with prospects to support repeat business and larger opportunities.
• Achieve quarterly targets for qualified pipeline creation and revenue contribution.
• Stay informed about market trends, customer buying patterns, and competitor offerings relevant to enterprise applications.

Skills Required:

• 5–10 years of inside sales experience in enterprise application or technology services focused on the US market.
• Strong outbound sales capability with a history of generating qualified enterprise-level opportunities.
• Understanding of SaaS, enterprise platforms, digital engineering, and IT services.
• Experience with platforms such as ServiceNow, Salesforce, or similar systems is an advantage.
• Excellent communication, solution-selling, and stakeholder engagement skills.
• Hands-on experience with CRM tools (HubSpot, Salesforce, Zoho, etc.).
• Ability to run targeted outbound campaigns and manage full inside-sales cycles independently.
• Analytical mindset with the ability to interpret sales data and refine strategies.
• Self-driven, target-focused, and comfortable working with cross-functional global teams.

Qualification:

• Any Degree

Experience

• 7 -12 Years

We are looking for a Product Manager to join our IoT Platform team and own the end-to-end success of key platform features in the connectivity and device management domain. In this role, you will be responsible for translating our strategic goals into tangible product capabilities. As Product Manager, you will drive the product roadmap and execution for your areas of the platform, from early discovery and PRD creation through development, launch, and post-launch iteration. You’ll work closely with cross-functional teams to deliver solutions that are technically sound, user-friendly, and aligned with client’s mission of IoT simplification. This means gathering customer and internal stakeholder input, defining requirements that address real pain points, and coordinating across engineering, UX, data, and business teams to ensure successful outcomes.

This is a high-impact role at the platform level; you will shape experiences spanning multiple customer touchpoints and geographies. It’s also a highly collaborative role: expect to partner with global teams in engineering, customer success, marketing, and more to bring products to market.

Key duties/ responsibilities

• Product Strategy & Roadmap: Define, maintain, and communicate a clear roadmap for platform features such as connectivity management, insights/analytics, and AI-driven automation. Align initiatives to client’s mission and customer needs.
• End-to-End Product Ownership: Lead discovery, define requirements (PRDs, user stories), and guide agile execution. Partner closely with engineering and UX teams (Figma, JIRA) to ensure high-quality, user-centric delivery.
• Data-Driven Decision Making: Establish and track success metrics (North Star andsupporting KPIs). Use analytics and SQL insights to identify opportunities, measure adoption, and guide prioritization.
• Customer & Market Insight: Represent the voice of the customer using persona-based journeys, feedback loops, and competitive intelligence. Anticipate market trends in IoT, eSIM, and AI to shape strategy.
• Cross-Functional Collaboration: Work with global teams across Customer Success, Marketing, and Support to enable go-to-market readiness, documentation, and launch success.
• Innovation & AI Enablement: Identify opportunities to embed automation and intelligence into the IoT Platform, collaborating with data science teams to prototype and deliver new capabilities.
• Ownership & Bias for Action: Drive initiatives to completion, proactively removing roadblocks and making pragmatic trade-offs to deliver value fast. Demonstrate accountability for results and continuous improvement.

Skills Required:

• Experience: 3+ years in product management within B2B SaaS, IoT, or telecommunications environments; proven success delivering platform or API-driven products.
• Technical Fluency: Understanding of modern cloud architectures, RESTful APIs, and IoT connectivity concepts (SIM/eSIM). A working knowledge of how AI can be applied would be a plus.
• Analytical & Data Skills: Skilled in metric definition, product analytics, and basic SQL; comfortable interpreting data to inform decisions.
• Execution & Agility: Strong ability to plan, prioritize, and manage multiple initiatives in an agile environment.
• Customer Empathy: Deep curiosity for customer problems and a track record of using research and feedback to drive product improvements.
• Collaboration &Communication: Excellent cross-functional communication skills; can translate between technical and business audiences effectively.
• Design & UX Orientation: Appreciation for intuitive, self-service user experiences; experience collaborating in Figma or similar tools.
• Bias for Action & Growth Mindset: Operates with urgency, initiative, and accountability; embraces learning and adapts quickly in a fast-evolving IoT landscape.

Experience

• 10 + Years

• 3 to 5 Years of Experience in Industrial Automation.
• Hands-on experience in PLC, SCADA, and Industrial communication protocols.
• Deep knowledge in communication protocols such as Modbus RTU/TCP, OPC UA/DA, Ethernet/IP.
• Must have experience in device configuration within Industrial networks.
• Proficient in reading and troubleshooting control wiring schematics and electrical diagrams.
• Experience in performing control wiring and conducting troubleshooting of control wirings and circuits in industrial systems.
• Experience with tools like Modscan, UAExpert , Docklight and Wireshark for diagnostics.
• Should have basic to advanced knowledge of SSH protocol.
• Knowledge of PC networking and Industrial Ethernet setups.
• Good understanding of troubleshooting communication issues in industrial environments.
• Excellent communication skills and willingness for customer engagement and travel.
• Understanding of cloud or edge connectivity for industrial data acquisition is an advantage.
• Familiarity with SQL and Relational databases is a plus.
• Hands-on experience with gateway and IIoT device configuration and troubleshooting is a plus.

Roles and Responsibilities:

• Ensuring QMS implementation in line with ISO 9001 requirements, customer requirements & applicable regulatory requirements.
• Ensuring product quality through Quality assurance and Quality control activities throughout the design/development & manufacturing process.
• Conducting Internal Audits, reporting issues and tracking to closure. Facilitate Management Reviews.
• Facilitating external audits by Certification bodies, Customers & Regulatory bodies.
• Monitoring the various quality objectives/metrics & Ensuring actions are taken using root cause analysis for the deviations.
• Providing QMS related trainings and building quality consciousness among team.
• Ensuring supplier quality controls are implemented.
• Handling customer complaints & ensuring actions are taken.
• Lead continual improvement activities.

Required Skills & Experience:

• 6+ years of experience in QMS in design/development, manufacturing organizations preferably in electronics products related organizations.
• Thorough Knowledge about ISO 9001: 2015 standard requirements.
• Good Knowledge about Production quality control tools like Control plan, FMEA,SPC,RCA etc.
• Strong understanding of electronic manufacturing processes.
• Internal Quality Auditor/Lead auditor certification for ISO 9001:2015.
• Experience in facing external audits by Certifying bodies.
• Knowledge about Railway related standards like ISO/TS 22163:2017 (IRIS), EN 50126 / EN 50128 / EN 50129 will be an added advantage.
• Knowledge about ISO 27001:2022 will be an added advantage.
• Knowledge about SDLC related tools like Jira, Confluence, Bitbucket, Testrail.
• Good experience in documentation, MS Office/Google Docs.
• Good Communication & Presentation skills, Strong analytical & Problem solving skills.

Preferred Qualifications:

• B.E/B.Tech in Electronics/Electrical or related engineering field.
• Certifications (Preferred) : ISO 9001: 2015 Lead Auditor/Internal Auditor Certification

Experience

• 6–10 Years

The Embedded Architect will be responsible for defining and owning the architecture of complex embedded systems, from concept to deployment. This role involves deep technical expertise in embedded hardware and firmware, strong system-level thinking, and the ability to translate customer requirements into scalable, robust solutions. The architect will also provide technical leadership to teams, ensuring quality, performance, and timely delivery.

Key Responsibilities

• Define system and software architecture for embedded solutions, considering performance, scalability, power, and reliability.
• Collaborate with customers to gather requirements, clarify needs, and propose technical solutions.
• Prepare technical proposals, including effort estimations for firmware and system-level components.
• Guide teams in the design, development, integration, and troubleshooting of embedded systems.
• Own end-to-end delivery of projects with multiple modules (firmware, drivers, applications).
• Ensure best practices in embedded development, code quality, and system performance optimization.
• Provide technical leadership, mentoring, and architectural reviews across projects.
• Collaborate with hardware teams during board bring-up and system validation.
• Stay updated with new technologies, tools, and industry trends in embedded and IoT domains.

Mandatory Skills

• 10+ years in embedded product development, with at least 2+ years in an architect/lead role.
• Strong expertise in Embedded C/C++ and firmware development on microcontrollers & microprocessors.
• Proven experience in Linux internals (kernel, processes, threads, scheduling, synchronization, IPC).
• Hands-on experience with Linux device drivers, bootloaders, BSPs, and Yocto build systems.
• Solid understanding of embedded peripherals (GPIO, I2C, SPI, UART, DMA, ADC/DAC, PWM, Interrupts).
• Strong debugging and board bring-up skills.
• Exposure to power and thermal design considerations in embedded systems.
• Experience in proposal preparation, effort estimation, and project scoping.
• Basic project management skills with industry-standard tools and processes.

Preferred Skills

• Strong analytical and problem-solving capabilities.
• Excellent communication, stakeholder management, and leadership skills.
• Ability to manage multiple projects and lead cross-functional teams.
• Knowledge of IoT architectures, cloud integration, and real-time systems.

Qualification:

• Any Degree

Experience

• 10 + Years

Are you a ServiceNow Developer? This is an exciting opportunity to join our organization as we continue to evolve as a trusted partner across multiple industries. We are looking for a talented ServiceNow Developer to join our team.

As a ServiceNow Developer, you will play a critical role in the design, deployment, and maintenance of our ServiceNow environment. You will work on a variety of use cases, including ITSM, CSM, Portal, Workspace, ITOM, Virtual Agent, and integrations with third-party systems. This role offers the chance to contribute to innovative automation initiatives and shape the future roadmap of ServiceNow solutions within our organization.

You will have the opportunity to influence cultural and process improvements, enabling our teams to deliver better, faster, and more effective solutions. This position allows you to build on your existing knowledge, expand your technical expertise, and make a tangible impact on business outcomes.

Responsibilities:

• Design and develop automation solutions in ServiceNow aligned with ITSM, CSM, ITOM, and Virtual Agent capabilities.
• Configure and enhance Service Portal and Workspace experiences to optimize usability and performance
• Develop and maintain custom scripts (Business Rules, Script Includes, Client Scripts, UI Actions) and Flow Designer automations to meet business requirements.
• Integrate ServiceNow with third-party systems (e.g., NetSuite, Salesforce, Boomi) using REST/SOAP APIs, IntegrationHub, and MID Server.
•  Collaborate on Now Assist and Virtual Agent configurations to streamline user interactions and service delivery.
• Support version upgrades, instance clones, and platform maintenance activities ensuring minimal downtime and compliance with governance policies.
• Provide expertise in system architecture, platform optimization, and best practices for scalable and secure implementations.
• Ensure configuration and customization comply with SOX and IT General Controls requirements.
• Prepare and maintain documentation for design, development, testing, and deployment processes.
• Perform thorough testing, debugging, and quality assurance for all developed components.
• Collaborate with Enterprise Applications and IT teams on multi-system projects and integrations.
• Contribute to continuous improvement and propose best practices across ServiceNow solutions.

Attributes Desired:

• Exceptional written & verbal communication skills
• Someone with strong problem-solving skills & analytical thinking
• Has the ability to liaise with different departments
• A constant curiosity to learn and grow
• Can demonstrate strong leadership skills

Skills Required:

• ServiceNow Certification (CSA / CAD / ITSM / CSM) a plus.
• 3+ years of hands-on development experience with ServiceNow.
• Strong expertise in ITSM, CSM, Portal, Workspace, Integrations, RPA, ITOM, Virtual Agent, and Now Assist.
• Proficiency in JavaScript, Glide API, HTML, CSS, AngularJS, and ServiceNow API scripting.
• Hands-on experience with Flow Designer, IntegrationHub, and UI Frameworks.
• Experience supporting version upgrades, patching, and instance clone management.
• Strong troubleshooting and debugging skills for complex platform issues.
• Knowledge of Agile methodology and experience working in sprint-based development.
• Familiarity with platform security (ACLs, roles, data policies) and CMDB structure.
• Knowledge of NetSuite a plus.
• Knowledge of Salesforce a plus.
• Knowledge of Boomi is a plus.

Qualification:

• Any Degree

Experience

• 3 + Years

We are seeking a senior technical and people person who combines strong technical acumen with proven leadership skills to drive delivery across complex product areas. The role involves owning multi-track roadmaps, guiding teams through large-scale projects, enabling innovation, and ensuring alignment with organizational priorities. The Engineering Manager will mentor and grow team members, act as an advocate for customer needs, and collaborate with product leaders and senior management to achieve strategic outcomes.

Responsibilities:

• Lead a dedicated engineering team delivering on a multi-track roadmap for a product area
• Own planning, scheduling, and execution of medium-to-large scope projects and programs, ensuring timely delivery against KRAs and milestones.
• Define, delegate, and track project-level work; provide visibility of progress and risks to senior management.
• Collaborate with product managers on technical feasibility, estimation, and solution design.
• Ensure delivery quality, scalability, and alignment with business requirements and customer needs.
• Drive process improvements in software development, deployment, and cross-team collaboration.
• Manage budgets, resources, and recruitment to build and scale high-performing teams
• Create a culture of accountability, innovation, and customer focus across engineering groups.

Requirements:

• 10+ years of experience with prior leadership responsibilities.
• Proven ability to lead, coach, mentor, and develop high-performing engineering teams.
• Strong technical foundation in programming paradigms, concepts, and at least one programming language.
• Deep understanding of the software development lifecycle, processes, and agile methodologies (Scrum, Kanban, etc.).
• Track record of successful delivery both as an individual contributor and as a leader.
• Excellent communication and presentation skills; able to convey big-picture goals, align teams, and manage client/stakeholder relationships.
• Skilled at prioritization, conflict resolution, and making trade-offs in dynamic, fast-paced environments.
• Proficient with tools such as JIRA and Confluence.

Academic Qualifications:

Bachelor& degree in Computer Science, Engineering, Business Administration, or a related field. Master's degree will be good to have.

Experience

• 10+ Years

We are looking for a skilled Boomi Developer with 2–5 years of experience to join our team in Kochi. The ideal candidate should have hands-on experience with Boomi AtomSphere, integration design, and various enterprise systems. You will be responsible for designing, developing, and maintaining complex integration workflows and APIs. This is a great opportunity to work on enterprise-grade projects and contribute to a growing team.

Key Responsibilities:

• Design and develop moderately complex integrations using reusable components in Boomi AtomSphere
• Work with various connectors for ERP/CRM systems (e.g., Salesforce, NetSuite)
• Create and manage complex data mappings using functions, lookups, and scripting
• Develop and deploy REST/SOAP APIs within Boomi
• Write custom scripts using JavaScript or Groovy for validations and error handling
• Implement custom error-handling mechanisms and monitoring alerts
• Conduct thorough testing and debugging of integration processes
• Maintain version control and participate in manual CI/CD deployment processes
• Handle data transformation across formats (XML, JSON, CSV)
• Create and maintain clear technical documentation and integration diagrams
• Collaborate with cross-functional teams and understand business application needs
• Proactively support team members and contribute to knowledge sharing
• Communicate effectively with stakeholders and resolve technical challenges

Required Skills & Qualifications

• 2–5 years of hands-on experience with Dell Boomi AtomSphere
• Strong understanding of integration design and reusable process components
• Proficiency in API integration (REST/SOAP) and connector configuration
• Expertise in scripting (JavaScript or Groovy) for custom logic
• Experience with version control tools (e.g., Git) and manual deployment processes
• Knowledge of data formats like XML, JSON, CSV and transformation logic
• Ability to write SQL queries and work with databases (SQL Server, Oracle, MySQL)
• Strong problem-solving and analytical skills
• Good verbal and written communication skills
• Team player with the ability to collaborate and support peers effectively

Nice to Have:

• Boomi Associate Developer Certification (preferred)
• Boomi Professional Developer Certification (preferred)
• Prior experience working on Salesforce or NetSuite integration projects
• Exposure to CI/CD and DevOps practices in integration environments

Qualification:

• Any Degree

Experience

• 2 -5 YEARS

We’re looking for an AI Engineer with hands-on experience in building, fine-tuning, and optimizing LLM-based applications. The ideal candidate will have solid expertise in RAG (Retrieval-Augmented Generation) architectures, parameter-efficient fine-tuning (e.g., LoRA), and model quantization techniques for deployment efficiency.

Key Responsibilities:

• Design, implement, and optimize end-to-end LLM-based solutions for real-world applications.
• Develop and maintain RAG pipelines integrating vector databases, embeddings, and retrieval techniques.
• Fine-tune pre-trained language models using LoRA or similar methods.
• Apply quantization and optimization strategies to deploy models efficiently on constrained environments.
• Collaborate with data scientists, software engineers, and product teams to integrate AI features into production systems.
• Monitor, evaluate, and continuously improve model performance and reliability.

Required Skills:

• 3–5 years of experience in AI/ML development or applied NLP.
• Proficient in Python and frameworks such as PyTorch or TensorFlow.
• Strong understanding of LLM architectures (e.g., GPT, Llama, Falcon, Mistral).
• Experience with RAG frameworks (LangChain, LlamaIndex, or custom retrieval setups).
• Hands-on knowledge of LoRA, PEFT, and model quantization (GPTQ, AWQ, or similar).
• Familiarity with vector databases like FAISS, Pinecone, or ChromaDB.
• Good understanding of prompt engineering and evaluation techniques.
• Cloud deployment experience (AWS, Azure, or GCP) is an advantage.

Preferred Skills:

• Exposure to open‑source models and fine-tuning pipelines.
• Experience integrating AI models into web or enterprise products.
• Knowledge of containerization and MLOps (Docker, Kubernetes, MLflow).

Experience

• 3-5 Years

The Senior/Lead Data Scientist will design and deploy large-scale analytics solutions that deliver measurable impact. This role leads data-driven projects from ideation through implementation, provides technical and strategic guidance, and ensures best practices in data science across the business.

Key Responsibilities:

• Lead end-to-end advanced analytics and data science projects, delivering actionable insights and predictive models.
• Manage, mentor, and provide guidance to junior and mid-level data scientists.
• Collaborate with business stakeholders to translate strategic objectives into data-driven solutions and drive the data strategy.
• Apply advanced statistical, machine learning, and deep learning techniques for problem solving.
• Oversee data management, data governance, and pipeline design to ensure high data quality and reliability.
• Develop, validate, and deploy production-grade models for business problems acrossIoT, product analytics, and AI domains.
• Hands-on solutioning knowledge of Large Language Models (LLMs), fine-tuning, and RAG (Retrieval Augmented Generation) frameworks for enterprise AI applications.
• Present findings and recommendations to business teams, including creation of clear visualizations and non-technical reports.
• Stay abreast of the latest data science, analytics, and AI/ML trends and industry best practices.

Required Skills:

• 7–10 years of experience in data science, analytics, or ML application roles.
• Expertise with Python, R, SQL, and advanced machine learning libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong statistical and mathematical modeling background (regression, classification, clustering, deep learning, time series).
• Hands-on experience with Big Data technologies (Spark) and data pipeline design.
• Track record of leading successful analytics projects and collaborating cross- functionally.
• Excellent communication, visualization, and storytelling skills for technical and non-technical audiences.
• Proven ability to manage teams, mentor junior talent, and foster a collaborative culture.

Preferred Skills

• Experience in IoT, product engineering, or high-tech environments.
• Familiarity with cloud platforms and scalable model deployment (AWS, Azure, GCP).
• Knowledge of MLOps, containerization (Docker, Kubernetes), and version control (Git).
• Professional certifications in data science, ML/AI, or project management.

Experience

• 7-10 Years

The LLM Applications Engineer transforms AI prototypes into modular, secure, and production-ready workflows. This role focuses on orchestrating AI agents, implementing observability, and building toolkits that accelerate internal and external adoption.

Key Duties/ Responsibilities

• Develop agent orchestration using frameworks like LangChain, CrewAI, AutoGen.
• Build reusable APIs, SDKs, and configuration layers for internal consumption.
• Implement prompt safety measures and fallback handling using Rebuff, Guardrails AI.
• Ensure agent workflows are observable and CI/CD friendly.
• Collaborate with platform and backend engineers for deployment enablement.

Leadership Skills:

• Ownership of agent toolkit delivery.
• Cross-functional collaboration with platform and AI scientists.
• Documentation and internal adoption support.

Required Technical Skills:

• Node.js, Python, Docker, REST APIs.
• LangChain, Rebuff, LCEL, Guardrails, LangSmith.
• CI/CD tooling, OpenTelemetry, workflow orchestration (Airflow, Prefect).
• Experience implementing agent safety using Rebuff, Guardrails, or similar tools.
• Familiarity with one or more orchestration frameworks: LangChain, CrewAI, AutoGen (or equivalents).

Qualification:

• Bachelor’s degree in Engineering or related field.
• 5+ years in backend/devops roles, with 2+ years in AI workflow orchestration.

The CV + Edge AI Engineer develops AI solutions for visual understanding, document parsing, and multimodal processing. This role enables new use cases beyond text by integrating image, OCR, and edge-deployable AI capabilities.

Key Duties/ Responsibilities

• Develop OCR and image processing pipelines using OpenCV, Tesseract, or AWS Textract.
• Train and fine-tune visual models (e.g., YOLOv8, SAM, CLIP) for internal PoCs.
• Integrate visual AI modules into end-to-end workflows used by LLMs or agents.
• Optimize models for edge deployments using ONNX, TensorRT, or TFLite.
• Collaborate with backend and AI teams for data structure alignment.

Leadership Skills:

• Self-driven in visual AI exploration.
• Effective in prototyping and cross-functional collaboration.
• Ability to demonstrate impact through PoCs.

Required Technical Skills:

• OpenCV, YOLOv8, SAM, BLIP2, Tesseract.
• ONNX, TensorRT, AWS Panorama, Jetson Nano.
• Python, PyTorch/TensorFlow, edge deployment toolchains.
• Experience with one or more visual AI stacks such as YOLOv8, SAM, CLIP, or equivalent.
• Capability to structure visual outputs for downstream agent or LLM processing.

Qualification:

• Bachelor’s or Master's degree in Computer Science, AI/ML, Data Science, or related fields.

Experience

• 4 + Years

The Innovation Evangelist is responsible for managing the innovation idea funnel, organizing internal enablement initiatives, and partnering with product/pre-sales for marketable solution alignment. This role blends technical awareness with product thinking.

Key Duties/ Responsibilities

• Facilitate the innovation intake process and guide promising ideas through evaluation.
• Host internal sessions like hackathons, demos, and capability showcases.
• Translate technical outcomes into business-aligned documentation and presentations.
• Maintain innovation knowledge base, templates, and contribution guides.
• Partner with Pre-Sales and Product teams for solution readiness and packaging.
• Own and deliver internal demo sessions, AI showcase walkthroughs, and knowledge-sharing initiatives.
• Author structured innovation reports, opportunity briefs, and PoC summaries for leadership.

Leadership Skills:

• Strategic thinking with a strong sense of innovation ROI.
• Clear communication across technical and non-technical stakeholders.
• Workshop facilitation and team alignment.
• Excellent written and verbal communication to simplify complex ideas for varied audiences.
• Ability to create compelling demos, decks, and documentation that drive understanding and adoption.

Required Technical Skills:

• Familiarity with GenAI workflows, Copilot, LangChain, and prompt design.
• Documentation platforms like Confluence
• Prototyping tools like Streamlit/Gradio/Hugging Face Spaces
• Working knowledge with Jira & Miro
• Analytics tools like Mixpanel / Google Analytics etc.

Qualification:

• Bachelor’s degree in Engineering, MBA or equivalent.
• 6–8 years in product strategy, consulting, or solution engineering.

The Applied AI Scientist will lead the design, tuning, and evaluation of GenAI solutions. This role focuses on creating high-quality, business-relevant AI models, including RAG pipelines, LLM integrations, and prompt optimization strategies.

Key Duties/ Responsibilities

• Design, fine-tune, and evaluate large language model (LLM) pipelines for internal tools and customer-facing use cases.
• Lead prompt engineering experiments to improve output quality and reduce hallucination.
• Establish model evaluation frameworks using tools like Promptfoo, Trulens, LangSmith.
• Collaborate with Enablement and Systems Engineers to integrate AI models into reusable components.
• Contribute to innovation showcases and internal learning sessions.
• Design, develop, and evaluate traditional ML models (e.g., classification, regression, clustering) for use cases such as resume matching, anomaly detection, or recommendation systems.
• Perform feature engineering, preprocessing, and model training on structured datasets using tools like scikit-learn, XGBoost, or TensorFlow.
• Collaborate with data and engineering teams to operationalize ML models via APIs or batch workflows.

Leadership Skills:

• Strong analytical thinking with the ability to guide AI solution design.
• Able to mentor engineers on GenAI concepts and best practices.
• Collaboration across engineering and innovation teams.

Required Technical Skills:

• Proficiency with HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures.
• Experience with Python, PyTorch, OpenAI API, and model evaluation tools.
• Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone or equivalent vector store).
• Prompt evaluation using LangSmith, Promptfoo, or similar frameworks.

Qualification:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• Minimum 6 years of industry experience with at least 2 years hands-on with GenAI applications in a production or product-context environment.

Experience

• 6 + Years

We are looking for a skilled and motivated Software Engineer with expertise in Python, Test- Driven Development (TDD), and performance testing. You should have practical knowledge of managing CI/CD pipelines using Gitlab and Jenkins. Proficiency with containerization and orchestration tools such as Docker and Kubernetes is essential, and experience with cloud platforms (GCP, AWS, Azure) is a strong plus. Your initial responsibilities will include designing and executing core testing strategies to facilitate a smooth migration of the large system to the cloud, ensuring critical functionality and stability. Over time, your responsibilities will expand into performance optimization, scalability improvements, and enhancing overall system reliability and resilience.

Key Responsibilities:

• Design and implement clean, scalable, and testable code using Test-Driven Development (TDD) principles
• Build and maintain automation frameworks and tools using Python
• Integrate automated tests into CI/CD pipelines (preferably using Jenkins)
• Work closely with cross-functional teams to understand and implement business requirements
• Diagnose and resolve issues by analyzing logs and ensuring deployment stability
• Participate in code reviews, technical design discussions, and architecture planning
• Leverage Docker and Kubernetes for containerization and orchestration of applications
• Utilize cloud platforms (GCP, AWS, or Azure) for deployment, testing, and monitoring
• Document test strategies, workflows, configurations, and best practices

Required Skills:

• 4-6 years of experience in software testing with at least 3 years focused on test automation
• Strong proficiency in Python with hands-on experience in Test-Driven Development (TDD)
• Experience with CI/CD pipelines, preferably using Jenkins
• Solid understanding and practical knowledge of Docker for containerization
• Experience with Kubernetes for orchestration and managing containerized applications
• Familiarity with at least one cloud platform (GCP, AWS, or Azure)
• Good understanding of software testing practices, including unit, integration, and functional testing
• Experience with version control systems, particularly Git
• Ability to work in agile teams and collaborate effectively with developers, QA, and DevOps engineers
• Strong analytical and problem-solving skills with attention to detail
• Good communication skills, both written and verbal

Nice to Have:

• Experience with performance testing tools such as Locust, Grinder, Gatling, or Tsung
• Experience maintaining larger Python codebases
• Familiarity with AI/ML tools for test automation

Qualification:

• BCA/MCA, B.Tech, or equivalent.