Sr Machine Learning Engineer

Key Responsibilities

• Build, train, and validate machine learning models using Python, TensorFlow, PyTorch, or similar frameworks.
• Collaborate with data engineers to source, clean, and transform data for modeling purposes.
• Packaging models for deployment using MLOps tools; monitor performance and retrain as needed.
• Design and implement robust feature pipelines to improve model accuracy and efficiency.
• Work closely with analysts, product teams, and business stakeholders to translate requirements into ML solutions.
• Ensure models adhere to data privacy, security, and ethical AI standards.
• Maintain model documentation and provide support for production ML workflows.

Skills & Qualifications

• 5–8 years of experience in machine learning or applied data science roles.
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
• Strong understanding of statistics, model evaluation, and optimization techniques.
• Familiarity with version control, CI/CD, and MLOps practices.
• Excellent problem-solving and communication skills.

Preferred Experience

• Exposure to NLP, computer vision, or time-series modeling.
• Experience integrating ML models into enterprise applications or data platforms.
• Prior work in ed-tech or large-scale analytics environments is a plus.