Senior AI/ML Engineer

• 3 4 years of experience in AI/ML engineering or applied data science.
• Strong experience in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch).
• Good understanding of LLMs, embeddings, vector databases, and NLP pipelines.
• Proficient in building APIs and microservices for ML model consumption (FastAPI, Flask).
• Experience with cloud platforms (AWS / Azure) for model training and deployment.
• Familiarity with Docker containers, container orchestration (Kubernetes), and CI/CD pipelines.
• Solid understanding of algorithms, data structures, and model evaluation techniques.
• Strong problem-solving skills and the ability to explain complex concepts clearly.

Key Responsibilities:

• Design, develop, and deploy machine learning models, including classification, prediction, NLP, and deep learning solutions.
• Build and integrate AI solutions such as chatbots, generative AI models, and retrieval-augmented generation (RAG) frameworks.
• Work on end-to-end ML pipelines: data preprocessing, feature engineering, model training, evaluation, and optimization.
• Deploy and monitor ML models in production using tools like Docker, Kubernetes, MLflow, SageMaker, or Azure ML.
• Evaluate new AI/ML algorithms and frameworks; recommend adoption where appropriate.
• Work with cross-functional teams (product, engineering, and QA) to translate business problems into AI-driven solutions.
• Ensure responsible AI practices performance, security, ethics, and explainability.
• Document designs, experiments, results, and best practices.