ML Engineer

Location:

Experience:

Engagement Type:

Qualification:

Job Summary

Machine Learning Engineer

Key Responsibilities

• Design, develop, and deploy 

  machine learning models

   for large-scale, distributed systems.
• Build and optimize 

  end-to-end ML pipelines

  , from data ingestion to model deployment.
• Develop solutions in 

  Deep Learning, Recommendation Systems, and Computer Vision

  .
• Deploy and manage ML applications on 

  cloud platforms (AWS or Microsoft Azure)

  .
• Implement 

  containerized applications

   using 

  Docker

  .
• Develop and maintain 

  microservices and REST APIs

   for ML model serving.
• Collaborate with cross-functional teams to integrate ML solutions into production systems.
• Ensure 

  scalability, performance, and reliability

   of ML solutions.

Required Skills & Qualifications

• BE in 

  Computer Science

   or equivalent.

• 5+ years

   of meaningful industry experience.
• Experience in 

  large-scale distributed system development

  .
• Hands-on experience with 

  AWS or Microsoft Azure

  .
• Strong knowledge of 

  Docker and containerization

  .
• Solid understanding of 

  Machine Learning, Deep Learning, Recommendation Systems, and Computer Vision

  .
• Experience with ML frameworks such as 

  Scikit-learn, MLPack, TensorFlow, Spark MLlib, and Caffe

  .
• Strong programming skills in 

  Python, Java, and/or C++

  .
• Experience with 

  microservices architecture, REST APIs, and databases

  .
• Excellent 

  interpersonal and communication skills

  .

How to Apply

• Please submit your 

  resume

   and a 

  cover letter highlighting your relevant experience and skills

   to 

  resourcing@bitsatom.com

  .