Profile : AI/ML Tech Lead
Location: Bhubaneswar
Experience: 10-12 Years  

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Job Profile

• Lead the architecture, design, and development of AI/ML solutions and intelligent applications.
• Define AI technology roadmaps, implementation strategies, and scalable solution architectures.
• Drive development of production-ready AI systems with focus on scalability, security, reliability, and performance.
• Build and deploy Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI solutions.
• Develop and optimize LLM-based applications including RAG pipelines, AI agents, prompt engineering, fine-tuning, and orchestration workflows.
• Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, governance, and lifecycle management.
• Review code, AI models, and system designs to ensure high-quality technical delivery and adherence to best practices.
• Lead AI platform modernization, optimization, and continuous improvement initiatives.
• Ensure AI solutions comply with ethical AI practices, explainability standards, and governance requirements.
• Collaborate with Product Managers, Engineering Teams, Data Teams, and Business Stakeholders to deliver business-driven AI solutions.
• Mentor and guide AI Engineers, Data Scientists, and Developers through technical leadership and capability building.
• Conduct technical workshops, knowledge-sharing sessions, and innovation discussions within the organization.
• Participate in hiring, technical evaluations, and team development activities.
• Evaluate emerging AI technologies, frameworks, tools, and cloud platforms for adoption and innovation.
• Contribute to AI transformation initiatives, Proof of Concepts (POCs), and strategic innovation programs.

Candidate Profile

• Strong experience in designing and delivering enterprise-grade AI/ML and Generative AI solutions.
• Hands-on expertise in Machine Learning, Deep Learning, NLP, Computer Vision, and Large Language Models (LLMs).
• Proficiency in Python and AI/ML frameworks, libraries, and development ecosystems.
• Experience with LLM frameworks and orchestration tools such as LangChain, LlamaIndex, LangGraph, and CrewAI.
• Strong understanding of RAG architecture, AI agents, prompt engineering, fine-tuning, embeddings, and vector databases.
• Experience in designing and implementing scalable MLOps pipelines and AI deployment workflows.
• Good knowledge of cloud platforms and AI infrastructure on AWS, Azure, or GCP.
• Expertise in database technologies, vector databases, and AI data processing pipelines.
• Strong understanding of AI architecture, solution design principles, and scalable distributed systems.
• Experience in code reviews, system optimization, model evaluation, and performance tuning.
• Proven leadership experience in mentoring technical teams and managing cross-functional collaboration.
• Strong communication, stakeholder management, and problem-solving skills.
• Ability to drive innovation initiatives, evaluate emerging technologies, and contribute to strategic AI programs.
• Exposure to ethical AI practices, model governance, explainability, and compliance standards is preferred.

Qualification: BE / B.Tech / MCA / MCA