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.
- Robust 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
Skills: Deep Learning, Machine Learning Algorithms
Experience: 3.00-7.00 Years
📌 AI/Ml programmer (Pune)
🏢 Nihilent
📍 Pune