AI​/ML Developer; Lead

AI / ML Developer (Lead)

Key Responsibilities

• Solution Architecture & Development – Lead the end-to-end development of GenAI solutions, from ideation to production deployment.
• Architect and implement scalable GenAI applications using frameworks like Lang Chain, Lang Graph, Auto Gen, CrewAI or equivalent.
• Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to enable advanced Retrieval‑Augmented Generation, multi‑agent workflows, and context‑aware conversational AI.
• Technical Leadership – Mentor and guide a team of AI engineers, fostering a culture of innovation and technical excellence.
• Define coding standards, best practices, and Dev Ops/MLOps pipelines for model training, fine‑tuning and deployment.
• Collaborate with data scientists to optimize models for performance, cost and accuracy.
• Stakeholder Collaboration – Partner with product managers, business leaders and domain experts to identify high‑value GenAI use cases.
• Present technical roadmaps, proof‑of‑concepts and solution demos to senior leadership and clients.
• Governance & Security – Implement robust data governance, privacy and compliance controls (e.g., PII masking, GDPR) for AI‑driven applications.
• Ensure adherence to ethical AI principles and responsible use of Generative AI technologies.

• 10+ years overall IT/software development experience, with at least 3+ years focused on Generative AI, LLMs or advanced AI/ML.
• Proficiency in Python, Node.js or equivalent languages for AI solution development.
• Hands‑on experience with vector databases (Pinecone, Weaviate, FAISS), embedding models and RAG pipelines.
• Familiarity with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and containerised deployments (Docker, Kubernetes).
• Strong understanding of prompt engineering, fine‑tuning and multi‑agent orchestration.
• Proven track record of leading cross‑functional development teams to deliver enterprise‑scale AI products.
• Experience with Agile/Scrum methodologies and project management tools (Jira, Azure Dev Ops).
• Exposure to industries like retail, finance, healthcare or QSR (preferred). Understanding of data governance, security and compliance in AI/ML applications.

• Experience integrating GenAI with Power Platform (Power Automate, Copilot Studio) or enterprise SaaS ecosystems.
• Knowledge of MLOps and AI model monitoring frameworks.
• Certifications in AI/ML, Azure AI Engineer, or OpenAI/Lang Chain (a plus).
• Contributions to open‑source AI projects or AI research publications.

• Strategic thinker with strong problem‑solving and analytical skills.
• Excellent communication skills to engage both technical and non‑technical stakeholders.
• Passion for emerging AI trends and the ability to rapidly learn new technologies.

8-11 Years

Primary Skill: AI/ML Development

Infogain is a human‑centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience‑led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune and Bengaluru.

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Experience

Experience in AI/ML Development

Additional Skill(s) Node.js Python Azure AD Tensor Flow NLP Pytorch

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