AI/ML Development - AI Tech Lead

The JD for AI/Ml programmer is given below:

Key Responsibilities:

• Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models).
• Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use.
• Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools.
• Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems.
• Optimize inference pipelines for performance, latency, and scalability.
• Collaborate with product managers and data scientists to prototype and productionize AI features.
• Stay updated on recent advancements in Generative AI and autonomous agents.

Required Qualifications:

• 34 years of hands-on experience in Machine Learning / Deep Learning, with at least 1–2 years in Generative AI and/or AI Agents.
• Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Transformers (Hugging Face).
• Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications.
• Solid understanding of prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and multi-modal learning.
• Familiarity with agent orchestration frameworks and LLM tool chaining.
• Strong problem-solving and communication skills.

Preferred Qualifications:

• Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases).
• Knowledge of Reinforcement Learning or Meta-learning for agent training.
• Experience contributing to open-source projects or published papers in the field of AI.

Role: Machine Learning Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: B.Tech/B.E. in Any Specialization

PG: Any Postgraduate