Sr. ML Engineer

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Apex Systems
Full Time

Job Description

Job#: 1274503

Job Description:

One of Apex Systems top Industrial clients is looking for a full time Senior ML Engineer! (CAN BE FULLY REMOTE)

As a Senior Machine Learning Engineer, you'll contribute to specific business projects applying machine learning, DevOps, code optimization, and data visualization methods to drive deployment of AI products. You will make recommendations on the machine learning pipelines architecture, as well as infrastructure and performance recommendation for resource creating and successful operationalization of such AI products!

You will establish and integrate ML Operations into everyday work practice for AI teams using industry best practices and patterns. You will play a part in the development of features and operating model, that will result in the lowest total cost of ownership and assure the fastest delivery.

Key Responsibilities:
  • Hands-on design and development of integrated build and deployment pipelines using continuous integration (CI) and continuous delivery (CD) workflows (Azure DevOps). Governance of the build and release pipelines.
  • Configuration and provisioning of compute infrastructure; automation scripting (Azure Data Lake and Spark, infrastructure as code).
  • Full lifecycle development of endpoint services (APIs) and infrastructure at scale (Microsoft managed endpoints, APIs).
  • Working with data science experimental code base (notebooks) to apply the best software engineering practice and refactor for deployment (Python, YAML, C#)
  • Actively participate in platform administration (Microsoft Azure) and collaborating closely with the platform administration team to ensure compliance.
  • Translating data science requirements into code and performing in agile fashion.
  • Working within Agile SCRUM framework and leading technical design; assisting junior developers in task definition and execution by providing mentorship.

Qualifications:
  • Bachelors in Computer Science and Programming; Masters in Systems Engineering, Masters in Information Technology considered a strong asset.
  • 3+ years of demonstrated proficiency in machine learning, with experience in deployments and ML architecture design
  • Proficiency with Python, SQL, C#
  • Experience using Microsoft DevOps portal
  • Azure/AWS Cloud certification, DevOps certification, and Agile Methodology certification an asset.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or


Company Information

Apex Systems is a world class technology services business that incorporates industry insights and experience to deliver solutions that fulfill our clients’ digital visions. We provide a continuum of service from workforce mobilization and modern enterprise solutions to digital innovation to drive better results and bring more value to our clients. Apex transforms our customers with modern enterprise solutions tailored to the industries we serve. Apex has a presence in over 70 markets across US, Canada and Mexico. Apex is a segment of ASGN Inc. (NYSE: ASGN)

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Dice Id : apexsan
Position Id : BHJOB2374_1274503
Originally Posted : 2 months ago

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