Cloud-Based Machine Learning Professional

1 day ago

Vadodara, Gujarat, India beBeeMachineLearning Full time US$ 1,10,850 - US$ 1,45,490

Job Overview:

We are seeking an experienced Machine Learning Professional to lead the design, development, and deployment of robust ML models in a cloud-based production environment.

The ideal candidate will have expertise in cloud-based machine learning platforms and experience with end-to-end machine learning pipelines on cloud-based platforms. They will also possess strong collaboration skills, working closely with data scientists to translate models and algorithms into production-ready code.

Key Responsibilities:

  • Design, develop, and deploy end-to-end machine learning pipelines on cloud-based platforms.
  • 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 cloud platforms.
  • 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 cloud 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 cloud 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.

What We Offer:

A dynamic and innovative work environment with opportunities for growth and professional development. A competitive compensation package, including salary and benefits. The chance to work on challenging projects that drive business value and make a real impact.

Contact Information:

Please submit your application, including your resume and a cover letter, to [insert contact information].

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