Junior ML Engineer with Python- Onsite

Company:  Cognizant
Location: Charlotte
Closing Date: 17/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.


By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.


Location: Charlotte, NC

Four days a week on site


Technical Skills:

  • GIT
  • AWS CloudFormation
  • Terraform
  • Amazon Sagemaker
  • Artificial Intelligence
  • AWS CodeBuild
  • AWS CodeCommit
  • AWS CodeDeploy
  • AWS CodePipeline
  • AI & ML Concepts
  • Docker
  • AWS Machine Learning
  • ML Ops
  • Generative AI
  • D365 Common Data Service
  • MLFlow

Job Description:

Client seeks a Python developer with GenAI knowledge to join their Data Engineering team. This position involves writing code using the Python programming language. They are involved in all aspects of backend development debugging and implementation of new applications to meet business needs. The Python developer will collaborate with other teams to understand user requirements and provide solutions.

Required Skills:

  • Proficiency in Python.
  • Familiarity with popular frameworks and libraries like Spring Boot for Java and Celery for Python, as well as Python Pandas and NumPy.
  • Knowledge of AI and Machine Learning, especially in developing and deploying ML projects with Python.
  • Knowledge of relational databases like DB2, MySQL, PostgreSQL, and Redis.
  • Proficiency in using version control systems like Git.
  • Understanding of basic front-end technologies: HTML, CSS.
  • Strong analytical and debugging skills.

The annual salary depends on experience and qualifications of the successful candidate.


This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.


Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Employee Status: Full Time Employee

Shift: Day Job

Travel: No

Job Posting: Apr 01 2024

About Cognizant: Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at or follow us @USJobsCognizant.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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