Engineer AI/ML

Job Title: Engineer AI/ML Company: Empower India Job Category: Machine Learning Roles & Responsibilities: The AI/ML Engineer is responsible for designing, building, and optimizing AI and machine learning solutions within the Generative AI Platform. This role involves coding in Python and using relevant AI frameworks to develop scalable models and data pipelines. By collaborating with cross\-functional teams, the AI/ML Engineer ensures that the platform’s AI capabilities meet technical and business objectives. Essential Functions Model Development \& Deployment* * Build and deploy machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit\-learn). * Optimize models for performance, scalability, and security. Data Pipeline Management* * Collaborate with data engineers to design robust data pipelines for model training and inference. * Validate and preprocess datasets to ensure model accuracy and reliability. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. Work Location: Bengaluru, Karnataka, India Availability: Full time

Qualifications * Bachelor’s degree in Computer Science, Data Science, or related field; Master’s preferred. * 3\+ years of AI/ML development experience. * Strong Python programming skills and familiarity with major AI/ML frameworks. * Experience deploying models into production environments (cloud or on\-prem). * AI/ML certifications from AWS, Azure, or Google Cloud are beneficial. * Strong analytical thinking and problem\-solving. * Detail\-oriented with an emphasis on model reliability and validation. * Excellent communication skills for cross\-functional collaboration. * Occasional need to support after\-hours release cycles or troubleshooting. * Authority to recommend new AI/ML tools and frameworks for adoption. * Collaborates with product managers, data engineers, and QA teams. * May interface with external vendors for AI tools. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Model Training Salary: Not disclosed