AI/ML Development - AI Tech Lead

The JD for AI/Ml programmer is given below:

Key Responsibilities:

• Design, develop, and deployGenerative AI modelsusing state-of-the-art architectures (e.g., Transformers, Diffusion models).
• Build and fine-tuneLLM-powered agentscapable of multi-step reasoning, task planning, and tool use.
• Work with frameworks likeLangChain, 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 yearsof hands-on experience inMachine Learning / Deep Learning, with at least12 yearsinGenerative AI and/or AI Agents.
• Proficiency inPythonand ML libraries such asPyTorch,TensorFlow,Transformers (Hugging Face).
• Experience withLLM APIs(OpenAI, Claude, Mistral, etc.) and building LLM-based applications.
• Solid understanding ofprompt engineering,fine-tuning,RAG (Retrieval-Augmented Generation), andmulti-modal learning.
• Familiarity withagent orchestration frameworksandLLM tool chaining.
• Strong problem-solving and communication skills.

Preferred Qualifications:

• Experience withcloud platforms(AWS, GCP, Azure) andMLOpstools (MLflow, Weights & Biases).
• Knowledge ofReinforcement LearningorMeta-learningfor 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