AI/ML Engineer

Job Summary:
The AI/ML Engineer will design, develop, and deploy advanced machine learning models and intelligent systems to solve complex business problems. The role involves working with large datasets, performing data preprocessing, experimenting with algorithms, and optimizing models for performance and scalability.

Key Responsibilities:

• Design, implement, and deploy end-to-end machine learning solutions.
• Perform data collection, cleansing, transformation, and feature engineering.
• Train, validate, and optimize ML/DL models for production use.
• Collaborate with data scientists and engineers to integrate models into applications.
• Monitor model performance and retrain as necessary to maintain accuracy.
• Stay updated with emerging AI technologies and frameworks.

Required Skills & Qualifications:

• Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Solid understanding of machine learning algorithms and deep learning architectures.
• Experience with cloud ML platforms (AWS Sagemaker, Azure ML, or Google Vertex AI).
• Familiarity with version control, CI/CD pipelines, and model deployment practices.
• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field.

Job Types: Full-time, Contractual / Temporary

Pay: From ₹600,000.00 per year

Experience:

• AI and ML: 4 years (Required)
• Python, TensorFlow/PyTorch: 4 years (Required)
• Cloud ML services: 4 years (Preferred)

Work Location: Remote