Senior Data Science and Machine Learning Engineer

You will design, build, and scale data-driven systems powering advanced analytics and machine learning. Responsibilities • Develop, deploy, and maintain machine learning models in production environments. • Collaborate with data scientists, analysts, and product managers to define and deliver data-driven features. • Architect and maintain data platforms for experimentation, model serving, and feature engineering. • Explore and integrate Large Language Models (LLMs) and generative AI into business applications and data workflows. • Mentor junior engineers and data scientists, influencing architectural decisions and technical best practices. Required Skills • 10+ years of experience in data engineering or machine learning engineering. • Strong proficiency in Python, including Pandas, NumPy, and PySpark. • Solid understanding of ML model development, training, and deployment pipelines. • Experience with deep learning frameworks like TensorFlow and PyTorch. • Familiarity with MLOps practices, CI/CD, and Git version control. • Experience with ML model monitoring and observability frameworks. • Knowledge of LLMs and generative AI integration. • Strong problem-solving and analytical skills. • Excellent communication abilities across technical and non-technical teams.