AI / ML Developer (Senior)

1 day ago


Mumbai, Maharashtra, India Infogain Full time ₹ 15,00,000 - ₹ 25,00,000 per year

ROLES & RESPONSIBILITIES

Experience: 10+ Years (with at least 3+ years in Generative AI/AI/ML initiatives)

Location: [City/Remote/Hybrid – specify]

Employment Type: Full-time

ROLE OVERVIEW

We are seeking a highly skilled GenAI Development Lead to drive the design, development, and deployment of cutting-edge Generative AI solutions across enterprise use cases. This role requires a visionary leader with deep technical expertise in AI/ML, hands-on experience with LLMs (Large Language Models), and a strong background in building scalable AI products. The ideal candidate will be responsible for leading a development team, architecting GenAI applications, ensuring best practices in model lifecycle management, and collaborating with cross-functional stakeholders to bring next-generation AI capabilities to market.

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 LangChain, LangGraph, AutoGen, CrewAI, or equivalent.
  • Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to enable advanced RAG (Retrieval-Augmented Generation), multi-agent workflows, and context-aware conversational AI.
  • Technical Leadership

  • Mentor and guide a team of AI engineers and developers, fostering a culture of innovation and technical excellence.

  • Define coding standards, best practices, and DevOps/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.

REQUIRED SKILLS & EXPERIENCE

  • Technical Expertise

  • 10+ years of overall IT/Software development experience, with at least 3+ years focused on Generative AI, LLMs, or advanced AI/ML.

  • Proficiency in Python, , 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 containerized deployments (Docker, Kubernetes).
  • Strong understanding of prompt engineering, fine-tuning, and multi-agent orchestration.
  • Leadership & Delivery

  • 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 DevOps).
  • Domain Knowledge

  • Exposure to industries like retail, finance, healthcare, or QSR (preferred).

  • Understanding of data governance, security, and compliance in AI/ML applications.

PREFERRED QUALIFICATIONS

  • 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/LangChain (a plus).
  • Contributions to open-source AI projects or AI research publications.

KEY ATTRIBUTES

  • 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.

EXPERIENCE

8-11 Years

SKILLS

Primary Skill: AI/ML Development

Sub Skill(s): AI/ML Development

Additional Skill(s): TensorFlow, Pytorch, GenAI Fundamentals



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