Data Scientist – Machine Learning & AI (GenAI Focus)

About the Role We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.   Key Responsibilities ·      Design, develop, and deploy machine learning models for real-world business problems ·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring ·      Implement and manage MLOps pipelines for scalable and reproducible workflows ·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management ·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications ·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions ·      Optimize model performance and ensure production stability ·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems    Required Skills & Qualifications ·      4+ years of experience in Data Science / Machine Learning ·      Strong programming skills in Python ·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.) ·      Solid understanding of MLOps practices and tools ·      Experience with MLflow or similar model lifecycle tools ·      Practical experience in Generative AI (GenAI), including working with LLMs ·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch ·      Strong understanding of data structures, algorithms, and statistics ·      Experience with cloud platforms (AWS/GCP/Azure) is a plusGood to Have ·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines ·      Exposure to Docker, Kubernetes, and CI/CD pipelines ·      Knowledge of data engineering workflows