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Required Machine Learning Engineer at Downtown Chicago, IL at Chicago, Illinois, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2281675&uid=

Hi,

We have an urgent requirement with one of our clients, Please go through the below requirement and let me know if you are interested in this position.

Requirement details
:

R
ole: Sr. Machine Learning Engineer

Location:
Downtown Chicago, IL (
Hybrid)

Experience: 10+ Years

Duration: Long Term

Job Description:

Collaborate with data scientists, software engineers, and DevOps teams to develop and deploy ML models

Build, test, and deploy ML Ops pipelines on AWS

Manage and monitor production ML systems to ensure optimal performance, reliability, and scalability

Design and implement automated workflows for data cleaning, feature engineering, model training, and model deployment

Develop and maintain documentation for ML Ops processes and procedures

Continuously improve ML Ops pipeline performance and efficiency

Troubleshoot and resolve issues related to ML model performance, data quality, and infrastructure

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Minimum of 10+ years of experience in ML Ops, DevOps, or related roles

Strong knowledge of AWS services and tools related to ML Ops, such as SageMaker, Step Functions, Lambda, and CloudFormation

Hands-on experience building and deploying ML models in production using AWS

Proficiency in Python and/or other programming languages commonly used in ML, such as R, Java, or Scala

Familiarity with containerization technologies such as Docker and Kubernetes

Excellent problem-solving skills and attention to detail

Ability to work independently as well as in a team environment

Strong communication skills and ability to explain technical concepts to non-technical stakeholders

Knowledge, Skills, Abilities and Behaviors:

Knowledge of machine learning concepts, algorithms, and frameworks.

Knowledge of software engineering principles and best practices, such as version control, continuous integration, and agile development methodologies.

Strong understanding of data analysis and data manipulation techniques.

Ability to design and implement scalable, secure, and fault-tolerant ML Ops pipelines on AWS.

Ability to analyze and interpret data to identify patterns, trends, and anomalies, using advanced data manipulation techniques.

Outstanding communication skills (verbal, written, visualization, and listening).

Self-starter who can work independently as well as in a team setting.

Hands-on technologist with the ability to help drive the strategy and mentor others.

Giving and receiving effective feedback across all interactions.

Interest in understanding customer perspectives to aid in the development of the right solution.

Interest in understanding business needs to aid in developing solutions that are right for the broader organization.

Please provide the below details with updated resume, DL and Visa copy.

First Name

Last Name

Immigration Status

Current Location

Date of Birth

Phone Number

Email Id

Total IT Exp

Exp in Required Skills

Name of the Degree Highest education

Highest Degree Start and End Date

University

Last 4-digits SSN Number

Passport Number

Skype ID

LinkedIn ID

References

Availability timeslots

Thanks & Regards,

Ram Kumar

Technical Recruitment Manager

Email:

[email protected]

India: Unit.2138, Part,2nd Floor, SyNo.126,

Shanta Sriram Techpark, Gachibowli, Hyderabad, Telangana -500032.

US:
12200 Ford Rd, Suite A476, Irving, TX 75234

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Keywords: machine learning rlang information technology golang Idaho Illinois Texas
Required Machine Learning Engineer at Downtown Chicago, IL
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2281675&uid=
[email protected]
View All
11:16 PM 24-Mar-25


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Location: Downtown Chicago, Illinois