Posted on: 05/06/2026
Job Summary :
We are seeking an AI/ML Developer with 3+ years of experience in building and deploying intelligent systems. The role focuses on developing scalable ML solutions, optimizing models, and solving real-world business problems.
Key Responsibilities :
1. Design, develop, train, evaluate, and deploy ML/DL models
2. Work on classification, regression, clustering, NLP, and recommendation systems
3. Perform data preprocessing, feature engineering, hyperparameter tuning, and model optimization
4. Hands-on experience with AI tools and developer productivity tools such as n8n, Cursor, Claude, ChatGPT, GitHub Copilot, and similar AI-assisted automation/coding platforms
5. Experience using AI tools effectively for automation, development workflows, debugging, code generation, and productivity enhancement
6. Build and fine-tune Generative AI models (LLMs, VAEs, diffusion models) using Hugging Face, LangChain, OpenAI, LlamaIndex
7. Develop RAG pipelines, prompt engineering workflows, and embedding-based search systems
8. Build Multi-Agent Systems and agent workflows using CrewAI, LangGraph, AutoGen, etc.
9. Integrate AI solutions into scalable production systems
10. Monitor model performance, accuracy, latency, and reliability
11. Collaborate with cross-functional teams and stay updated with latest AI/ML advancements.
Requirements :
1. Strong Python programming skills
2. Strong understanding of ML concepts :
3. Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or Keras
4. Practical experience in :
i. Model training & fine-tuning
ii. LLMs & Generative AI
iii. RAG architecture
iv. Prompt Engineering
v. Embeddings & Vector Search
5. Experience with vector DBs : Pinecone, Weaviate, Chroma, FAISS
6. Experience with LangChain, LlamaIndex, OpenAI APIs
7. Knowledge of Multi-Agent/Agentic AI systems
8. Experience with FastAPI/Flask model deployment
9. Familiarity with AWS/GCP/Azure
10. Knowledge of Git and MLOps tools (MLflow, Airflow, Kubeflow)
11. Basic understanding of Spark/Hadoop and ETL pipelines
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