Senior Machine Learning Engineer

Key Skills:

Roles & Responsibilities:

• Manage the end-to-end AI/ML pipeline lifecycle, including data ingestion, model training, validation, deployment, and continuous monitoring.
• Design and implement scalable and efficient Python-based solutions.
• Utilize Python libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
• Collaborate with cross-functional teams to define and implement machine learning solutions.
• Demonstrate excellent problem-solving skills and attention to detail in all tasks.

Experience Required:

• 5-8 years of expertise in developing, deploying, and maintaining scalable machine learning models.
• Hands-on experience in building robust Python workflows and utilizing ML libraries like TensorFlow and scikit-learn.
• Strong analytical thinking and ability to translate business problems into machine learning solutions.
• Experience in productionizing models with MLOps practices and monitoring deployed solutions.

Education: