Job Description :

Role – ML Ops Engineer (ML Ops experience mandatory)

Location – Raleigh NC (Initial Remote)


The below skills are mandatory.

  • ML model deployment
  • ML model building
  • Hands on exp. On Python skills
  • ML Ops experience mandatory

ML Engineer Data Tech team  is looking for a ML Engineer to join a diverse team dedicated to providing best in class data services to our customers, stakeholders and partners.As a part of our CDO organization, you will work with our Data Science and BUs to define solutions for operationalizing data-driven decision making in a cost effective and scalable manner. A full stack engineer with deep understanding of data science and software engineering practices.


Job Responsibilities:

  • Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
  • Design and implement Machine learning models and data ingestion pipelines.
  • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models.
  • Expand and optimize data pipelines, data flow, and collection for cross functional teams.
  • Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
  • Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
  • Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
  • Implement Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS Sage Maker environment
  • Experience in container, streaming and messaging technologies is a plus



  • Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree preferred
  • At least two years' experience as a machine learning engineer.
  • Advanced proficiency with Python framework, Java and Scala
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • Good understanding of mathematics, statistics, and algorithms.
  • Excellent analytical and problem-solving abilities.
  • Great communication and collaboration skills.

Anish Antrive

Senior Recruiter

Nityo Infotech Corp.

Cell: 580   641  4135/ 785   203    3387

Email: Anish.   antrive   @

Client : Nityo Infotech


Similar Jobs you may be interested in ..