Infogain Corp
AI / ML Developer (Lead) with skills AI/ML Development, Node.js, Python, Azure AD, TensorFlow, NLP, Pytorch for location Any Infogain Base Location (Noida, Gurugram, Bangalore, Mumbai, Pune)
Key Responsibilities
• 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 • 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, 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 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
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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 • 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, 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 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
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