Data Scientist – Machine Learning & AI (GenAI Focus)

Job description
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 plus

Good 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