Machine Learning Engineer – AWS

6 days ago

Cochin, Kerala, India DBiz ai solutions Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Summary:

We are seeking a highly skilled and motivated Machine Learning Engineer with a strong foundation in programming and machine learning, hands-on experience with AWS Machine Learning services (especially SageMaker), and a solid understanding of Data Engineering and MLOps practices. You will be responsible for designing, developing, deploying, and maintaining scalable ML solutions in a cloud-native environment.

Key Responsibilities:

  • Design and implement machine learning models and pipelines using AWS SageMaker and related services.
  • Develop and maintain robust data pipelines for training and inference workflows.
  • Collaborate with data scientists, engineers, and product teams to translate business requirements into ML solutions.
  • Implement MLOps best practices including CI/CD for ML, model versioning, monitoring, and retraining strategies.
  • Optimize model performance and ensure scalability and reliability in production environments.
  • Monitor deployed models for drift, performance degradation, and anomalies.
  • Document processes, architectures, and workflows for reproducibility and compliance.

Required Skills & Qualifications:

  • Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of machine learning algorithms, model evaluation, and tuning.
  • Hands-on experience with AWS ML services, especially SageMaker, S3, Lambda, Step Functions, and CloudWatch.
  • Experience with data engineering tools (e.g., Apache Airflow, Spark, Glue) and workflow orchestration.
  • Proficiency in MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines, Docker, Kubernetes).
  • Familiarity with monitoring tools and logging frameworks for ML systems.
  • Excellent problem-solving and communication skills.

Preferred Qualifications:

  • AWS Certification (e.g., AWS Certified Machine Learning – Specialty).
  • Experience with real-time inference and streaming data.
  • Knowledge of data governance, security, and compliance in ML systems.

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