Machine Learning Scientist

• Key Responsibilities
• Design, develop, train, and deploy machine learning models.
• Build scalable and reliable ML pipelines for data processing, model training, and inference.
• Analyze large datasets to identify patterns, trends, and opportunities for predictive modeling.
• Evaluate model performance and improve accuracy, scalability, and efficiency.
• Implement machine learning solutions in production environments.
• Collaborate with software engineers and data scientists to integrate ML models into applications and products.
• Monitor deployed models and maintain model performance over time.
• Develop and maintain reusable ML components, frameworks, and tools.

Required Skills:

• Understanding of model deployment, APIs, and MLOps.
• SQL and data processing.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong problem-solving and analytical skills.