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ML Engineer at PHOENIX AZ ( Day One Onsite - Hybrid ) at Phoenix, Arizona, USA
Email: [email protected]
From:

Isaac,

Centraprise

[email protected]

Reply to:   [email protected]

Hi Professional,

I am writing to let you know regarding a job opportunity as

ML Engineer

with Cognizant. Mentioned is the job description for your review.

Job Title: ML Engineer

Location: PHOENIX AZ ( Day One Onsite - Hybrid )

Job Type: Contract

Job Description:

Experience: 10 to 13 Yrs.

Top Must Have Skill: Machine Learning

Job Summary:

- Info retrieval implementation, LLM integration, vectorization pipeline, Lang Chain integration

Analyze and organize raw data

Build data systems and pipelines

Evaluate business needs and objectives

Interpret trends and patterns

Conduct complex data analysis and report on results

Prepare data for prescriptive and predictive modeling

Build algorithms and prototypes

Combine raw information from different sources

Explore ways to enhance data quality and reliability

Roles & Responsibilities:

Identify opportunities for data acquisition

Develop analytical tools and programs

Collaborate with data scientists and architects on several projects

Previous experience as a data engineer or in a similar role

Technical expertise with data models, data mining, and segmentation techniques

Knowledge of programming languages (e.g. Java and Python)

Hands-on experience with SQL database design

Great numerical and analytical skills

Degree in Computer Science, IT, or similar field a Masters is a plus

If interested, please fill the below details and revert with your updated resume.

Candidate Full Name         

Current Location         

Phone                                                                  

Email ID         

Skype ID         

Linked in ID

Passport number

Total Years of Experience         

Education         

Visa Status         

Willing to relocate         

Rate

Last 4 Digits of SSN#:         

Availability to start on the project         

Previously worked with Cognizant (Y/N)         

If Yes Provide the CTS Emp ID         

Interview Availability with the time Zone        

Thanks & Regards

Isaac

[email protected]

Mobile: 201-898-2218

Direct: 469-923-8111

Centraprise

Keywords: machine learning access management information technology Arizona Idaho
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Thu Aug 31 20:59:00 UTC 2023

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