Machine Learning Specialist

1 day ago

Salem, Tamil Nadu, India beBeeMachineLearning Full time US$ 1,20,000 - US$ 1,70,000
Artificial Intelligence Specialist

We are seeking a highly skilled professional to design, build, and deploy robust machine learning models in a production environment. The successful candidate will have a strong background in artificial intelligence and experience working with various machine learning algorithms.

The ideal candidate will have expertise in designing end-to-end machine learning pipelines, collaborating with data scientists, and managing the entire machine learning lifecycle. Strong problem-solving skills and the ability to work in a collaborative environment are essential.

We are looking for a talented engineer with hands-on experience in Python programming and standard ML libraries such as scikit-learn, TensorFlow, and PyTorch. Experience with containerization technologies like Docker and solid understanding of MLOps principles is also required.

Key Responsibilities:
  • Design, develop, and deploy end-to-end machine learning pipelines.
  • 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.
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.
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).
What We Offer:

A competitive salary and benefits package, opportunities for career growth and development, and a dynamic work environment that encourages collaboration and innovation.

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