Description

Job Summary:

We are seeking a skilled AI/ML Engineer with strong expertise in AWS cloud services to design, build, and deploy scalable machine learning models and data-driven solutions. The ideal candidate will have hands-on experience with AWS AI/ML services, data engineering, and model lifecycle management.

Key Responsibilities:

• Design, develop, and deploy machine learning models in production environments.
• Build and manage scalable ML pipelines using AWS services.
• Work with large datasets for data preprocessing, feature engineering, and model training.
• Deploy models using AWS SageMaker, Lambda, and API Gateway.
• Collaborate with data engineers, software developers, and business stakeholders.
• Monitor model performance and implement improvements.
• Ensure best practices for MLOps, CI/CD, and model versioning.
• Optimize models for performance, scalability, and cost.

Required Skills:

• Strong experience in Python, R, or similar programming languages.
• Hands-on experience with AWS services:
  • AWS SageMaker
  • S3, EC2, Lambda
  • Glue, Redshift
  • API Gateway
• Experience with ML frameworks:
  • TensorFlow, PyTorch, Scikit-learn
• Knowledge of data processing tools like Pandas, NumPy.
• Experience in deploying ML models in cloud environments.
• Understanding of MLOps concepts and tools (Docker, Kubernetes, CI/CD).
• Strong SQL and data modeling skills

Key Skills

Education

Any Graduate