Cognizant

Machine Learning Engineer (Remote)

Job description

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
  • You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *
Machine Learning Engineer (Remote)

Experience 12 to 15 years

Technical Skills

Must have
  • Machine Learning
Good to have.
  • PySpark
  • Python
Domain Skills

eCommerce

Job Summary

Pull data from first and third party data sources stitch and wrangle it for advanced analytics activities. Leverage data best practices and tools by collaborating with analytics translator data scientist and cloud engineer. Research first and third party data sources to enable access and ensure availability of relevant data sources for those who need it. Provide input to cloud engineer for the design and implementation of data management and/or architecture solutions.

Roles/Responsibilities
  • 15+ years of industry experience with at least 2-years in a technical lead role
  • Experience working with data, cloud and MLOps
  • Programming: Experienced programmer with expert level programming skills are required tuning debugging code etc.
  • Databricks optimization techniques core programming sql tuning.
  • Architecture design patterns production scaling/optimization
  • Big data engineering with mandatory Azure Databricks Spark knowledge.
  • Experienced Pyspark developer and Spark Optimization/tuning Debugging mandatory
Salary And Other Compensation

The annual salary for this position is depending on experience and other 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.

LI-MA1 #CB #Ind123

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Jun 27 2023

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 www.cognizant.com or follow us @USJobsCognizant.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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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