Develop end-to-end AI/ML pipelines data preprocessing, model training, evaluation, and deployment.
Collaborate with data scientists, ML engineers, and product teams to build innovative AI solutions.
Build APIs and microservices to serve AI/ML models in production environments. Monitor and improve model performance and scalability over time. Ensure code quality, documentation, and version control (Git).
Requirements:
Strong proficiency in Python and its ML libraries (NumPy, Pandas, scikit-learn, etc.)
Experience with LLMs and frameworks like Hugging Face Transformers, OpenAI API, or LangChain Familiarity with fine-tuning or prompt engineering for LLMs Solid understanding of ML concepts (supervised/unsupervised learning, NLP, embeddings, etc.)
Experience with ML frameworks: TensorFlow, PyTorch, or similar Proficiency with RESTful APIs, FastAPI or Flask.
Knowledge of data pipelines, cloud platforms (AWS, GCP, or Azure), and ML model deployment
Good understanding of version control (Git), testing, and CI/CD practices
