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