Innovative AI Architect

15 hours ago

Gandhinagar, Gujarat, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team. The successful candidate will have a strong background in machine learning and experience designing, building, and deploying robust ML models in a production environment.

  • The ideal candidate will have expertise in AWS SageMaker and hands-on experience with Python and standard ML libraries.
Responsibilities:
  • Design and develop 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.
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 containerization technologies like Docker.
  • Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • 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:
  • 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).
  • Familiarity with agile development methodologies.

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