Data Scientist Machine Learning & AI (GenAI Focus)

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