Innovative Machine Learning Professional

19 hours ago

Erode, Tamil Nadu, India beBeeMachine Full time US$ 1,80,000 - US$ 2,00,000

We are seeking a visionary Machine Learning Engineer to spearhead the development of innovative solutions using cutting-edge technologies.

Key Responsibilities
  • The ideal candidate will design, develop and deploy end-to-end machine learning pipelines utilizing AWS SageMaker.
  • Collaborate with data scientists to translate models and algorithms into production-ready code, ensuring seamless integration with our existing infrastructure.
  • Oversee the entire machine learning lifecycle, including data ingestion, model training, validation, deployment and monitoring.
  • Implement MLOps best practices to automate workflows, ensuring model performance, reliability and scalability on the AWS platform.
  • Optimize ML models for performance, cost efficiency and ease of maintenance, leveraging your expertise in Python and standard ML libraries.
  • Stay current with the latest advancements in machine learning and cloud technologies, applying this knowledge to drive innovation and growth.
Requirements
  • 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, with a proven track record of delivering high-quality results.
  • Hands-on experience with AWS services, specifically SageMaker, as well as containerization technologies like Docker.
  • Proficiency in Python, scikit-learn, TensorFlow and PyTorch, with the ability to adapt to new technologies and frameworks.
  • Solid understanding of MLOps principles and tools for CI/CD, with experience in data engineering principles and big data technologies.
  • Strong problem-solving skills, excellent communication and collaboration abilities, with a focus on delivering results in a fast-paced environment.
Preferred Qualifications
  • Experience with other AWS services such as S3, Lambda, Glue and Redshift, as well as certifications like AWS Certified Machine Learning – Specialty.
  • Knowledge of model serving frameworks like Flask and FastAPI, version control systems like Git and agile development methodologies.
  • Familiarity with DevOps practices, container orchestration and continuous integration/continuous deployment (CI/CD) pipelines.

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