AI Model Developer

7 days ago

Tiruchi, Tamil Nadu, India beBeeMachine Full time ₹ 15,00,000 - ₹ 25,00,000
Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team.

  • This role involves designing, building, and deploying robust machine learning models in a production environment.
  • The ideal candidate will have experience with AWS SageMaker, data scientists, and MLOps best practices.

Responsibilities:

  1. Pipeline Development: Design, develop, and deploy end-to-end machine learning pipelines on AWS SageMaker.
  2. Collaboration: Collaborate with data scientists to translate models and algorithms into production-ready code.
  3. Lifecycle Management: Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
  4. Automation: Implement MLOps best practices to automate workflows and ensure model performance and reliability.
  5. Optimization: Optimize ML models for performance, scalability, and cost efficiency on the AWS platform.
  6. Monitoring and Troubleshooting: Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
  7. Professional Development: Stay current with the latest advancements in machine learning and cloud technologies.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in a machine learning or data science role.
  • Hands-on experience with AWS services, specifically SageMaker.
  • Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with containerization technologies like Docker.
  • Solid understanding of MLOps principles and tools for CI/CD.
  • Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).
  • Strong problem-solving skills and the ability to work in a collaborative environment.

Preferred Qualifications:

  • Experience with other AWS services such as S3, Lambda, Glue, and Redshift.
  • Certifications such as AWS Certified Machine Learning – Specialty.
  • Experience with model serving frameworks (e.g., Flask, FastAPI).
  • Experience with version control systems like Git.
  • Familiarity with agile development methodologies.

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