Senior Machine Learning Engineer

Role : Python AI/ ML Engineer

Experience : 8+ Years Full time

Location : Noida/Gurugram/Hyderabad (Hybrid) Key Responsibilities

• Design, develop, and optimize machine learning models using Python.
• Build, train, evaluate, and deploy ML models for production environments.
• Develop scalable data preprocessing and feature engineering pipelines.
• Implement model monitoring, retraining, and performance optimization strategies.
• Deploy and manage ML workloads using AWS cloud services.
• Collaborate with data engineers, software developers, and business stakeholders to translate business requirements into ML solutions.
• Integrate machine learning models into enterprise applications and APIs.
• Ensure code quality through testing, documentation, and version control best practices.
• Monitor model performance and troubleshoot production issues.
• Stay up to date with advancements in machine learning, cloud technologies, and MLOps practices. Required Skills
• Strong proficiency in Python for machine learning and data processing.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Hands-on experience with AWS services such as:
• Amazon SageMaker
• Amazon S3
• AWS Lambda
• Amazon EC2
• Amazon ECR/ECS
• AWS IAM
• Amazon CloudWatch
• AWS Step Functions (preferred)
• Experience building and deploying ML models on AWS infrastructure.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Experience with REST APIs for model deployment and integration.
• Familiarity with SQL and data storage solutions.
• Understanding of Docker and containerized deployments.
• Experience with Git and CI/CD pipelines.