AI Innovator

5 days ago

Tiruchi, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Machine Learning Engineer Position

We are seeking a skilled Machine Learning Engineer to join our team and help us design, build, and deploy innovative machine learning solutions.

About the Role

This is an exciting opportunity for a talented engineer to work on cutting-edge projects and collaborate with data scientists to translate models and algorithms into production-ready code.

The ideal candidate will have a strong background in machine learning and hands-on experience with AWS services, specifically SageMaker.

  • Design, develop, and deploy end-to-end machine learning pipelines on AWS SageMaker.
  • Collaborate with data scientists to translate models and algorithms into production-ready code.
  • Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
  • Implement MLOps best practices to automate workflows and ensure model performance and reliability.
  • Optimize ML models for performance, scalability, and cost efficiency on the AWS platform.
  • Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
Required Skills and Qualifications

To be successful in this role, you will need:

  • 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).
Preferred Qualifications

It would be great if you also had experience with:

  • Other AWS services such as S3, Lambda, Glue, and Redshift.
  • Certifications such as AWS Certified Machine Learning – Specialty.
  • Model serving frameworks (e.g., Flask, FastAPI).
  • Version control systems like Git.
  • Familiarity with agile development methodologies.
What We Offer

We offer a dynamic and collaborative work environment that values innovation, creativity, and teamwork. As a Machine Learning Engineer, you will have the opportunity to work on diverse projects, learn from experienced professionals, and grow your skills in a rapidly evolving field.

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