Role & responsibilities

- Design and develop applications using Generative AI models like GPT, LLaMA, Mistral, Claude, DeepSeek, and Diffusion Models.

- Fine-tune and customize pre-trained LLMs or vision-language models to meet specific domain or client needs.

- Build prompt engineering strategies and use LangChain, LLamaIndex, or similar frameworks for rapid application development.

- Use vector databases (e.g., FAISS, Milvus) for memory and context handling.

- Build scalable, secure, and effective pipelines for model training, inference, and evaluation.

- Build and train ML models using libraries like scikit-learn, XGBoost, or LightGBM.

- Integrate Generative AI capabilities into web/mobile applications and enterprise workflows.

- Utilize tools such as pandas, openpyxl, requests, NumPy,



and streamlit for rapid app development and reporting.

- Develop LP/MILP models using PuLP, Google OR-Tools, or SciPy.optimize to solve logistics, scheduling, or planning problems.

- Collaborate with data scientists, product managers, and backend/frontend engineers to build and deploy end-to-end solutions.

- Conduct research on emerging GenAI trends and assess model performance using relevant metrics.

- Maintain documentation and best practices for model usage, deployment, and performance tracking.

- Ensure ethical and responsible use of AI, including bias detection and mitigation.

📌 AI/ML Programmer (Bhubaneswar)
🏢 CSM Technologies
📍 Bhubaneswar