Innovative Machine Learning Expert Wanted

2 days ago

Mumbai, Maharashtra, India beBeeMachineLearning Full time US$ 1,20,000 - US$ 1,80,000
Job Description

Develop Scalable Machine Learning Solutions

We're seeking a skilled engineer to design, build, and deploy robust ML models in a production environment. Your expertise in AWS SageMaker will be crucial in creating scalable solutions that deliver real business value.

Key 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 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.
  • Stay current with the latest advancements in machine learning and cloud technologies.

Required Skills and 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.

Benefits of Working with Us:

  • Opportunity to work on cutting-edge machine learning projects.
  • Collaborative and dynamic work environment.
  • Professional development and growth opportunities.

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.

Summary: We're looking for a skilled engineer to join our team and help us build innovative solutions for our clients. If you have a strong background in machine learning and experience with AWS SageMaker, we'd love to hear from you.

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