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Machine Learning Engineer | Onsite at Bentonville, Arkansas, USA
Email: [email protected]
From:

Amit,

technocraft solution

[email protected]

Reply to: [email protected]

Hello,

Hope you are doing well

My name is Amit Kumar and I'm a Technical Recruiter at Technocraft solutions. We provide IT Consulting Services to our customers immediate and long-term resource needs. I am contacting you either because your resume has been posted to one of the internet job sites to which we subscribe or you had previously submitted your resume to Technocraft solutions.

Role: Machine Learning Engineer(3 positions)

Location of work: Bentonville, AR. Onsite

Duration: 6-12+ months

Relocation works

Description:

This is not a consulting role alone or project management role.

Experience with Optimization (LP and other techniques) and Forecasting Area, for Store and Products in Store

They should understand Retail store domain very well, should have experience in working in Retail Data Science Projects

They are supposed to by proficient in Python, Kafka Integration, Infrastructure Provisioning and to minimize cloud spend

Cloud is Azure

Responsibilities

o Defines MLOps processes and assists in model deployments

o Works closely with Data Scientists in refactoring the model training

pipelines

o Automate model training pipelines

o Employ AI/ML architectural knowledge as well as standard DevOps

pipelines to achieve data science objectives (e.g., developing a feature

store, training/deploying ML models, etc.)

o Implement standard DevOps tools (e.g., Git, Jenkins, Docker, CI/CD

pipelines, etc.)

o Recommend appropriate technologies/applications to enable strategic

data management, model management, and risk considerations

o Ensure platform is scalable, reliable, and performant

o Assists in outlining new integration patterns with on demand solutions

Required Skills

o Proficiency in Spark, Java/Scala, Hadoop, Kafka, Python

o Solid experience of SQL and NoSQL database technologies.

o Experience in developing REST APIs, event & message driven

applications using Kafka or other messaging queue

o Experience in building batch and streaming data pipelines

o Experience working in Agile/Scrum setup

o Experience working with Data Scientist in converting model to production

code

o Experience with building model inference pipelines

o Hands on experience in defining CI/CD pipelines for enterprises e.g.

Concord/Jenkins/etc.

o Experience deploying applications in GCP

o MS degree in Computer Science or related field

Keywords: continuous integration continuous deployment artificial intelligence machine learning access management information technology microsoft Arkansas
Machine Learning Engineer | Onsite
[email protected]
[email protected]
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Fri Oct 25 19:15:00 UTC 2024

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Location: Bentonville, Arkansas