Required Skills

Machine Learning Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 13th Oct 2025

JOB DETAIL

  • This is not a consulting role alone or project management role.
  • Experience with Optimization (LP and other techniques) and Forecasting Area, for Store and Products in Store
  • They should understand Retail store domain very well, should have experience in working in Retail Data Science Projects
  • They are supposed to by proficient in Python, Kafka Integration, Infrastructure Provisioning and to minimize cloud spend Cloud is Azure

 

Responsibilities

  • Defines MLOps processes and assists in model deployments
  • Works closely with Data Scientists in refactoring the model training pipelines
  • Automate model training pipelines
  • Employ AI/ML architectural knowledge as well as standard DevOps pipelines to achieve data science objectives (e.g., developing a feature store, training/deploying ML models, etc.)
  • Implement standard DevOps tools (e.g., Git, Jenkins, Docker, CI/CD pipelines, etc.)
  • Recommend appropriate technologies/applications to enable strategic
  • data management, model management, and risk considerations
  • Ensure platform is scalable, reliable, and performant
  • Assists in outlining new integration patterns with on demand solutions

 

Required Skills

  • Proficiency in Spark, Java/Scala, Hadoop, Kafka, Python
  • Solid experience of SQL and NoSQL database technologies.
  • Experience in developing REST APIs, event & message driven applications using Kafka or other messaging queue
  • Experience in building batch and streaming data pipelines
  • Experience working in Agile/Scrum setup
  • Experience working with Data Scientist in converting model to production code
  • Experience with building model inference pipelines
  • Hands on experience in defining CI/CD pipelines for enterprises e.g. Concord/Jenkins/etc.
  • Experience deploying applications in GCP
  • MS degree in Computer Science or related field

Company Information