

ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Engineer in Houston, Texas, with a long-term contract. Candidates should have a STEM degree (Ph.D. preferred), expertise in Deep Learning and Reinforcement Learning, and strong skills in PyTorch or TensorFlow.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
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ποΈ - Date discovered
September 3, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Houston, TX
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π§ - Skills detailed
#Code Reviews #PyTorch #Deployment #ML (Machine Learning) #Reinforcement Learning #Data Science #Deep Learning #TensorFlow #Scala #Programming #"ETL (Extract #Transform #Load)" #Agile
Role description
Job Title: ML Engineer
Location : Houston, Texas (Should be local to Houston Texas. Only)
Long Term
Job Details.
Degree in STEM field, Ph.D preferred.
master in Deep Learning, Reinforcement Learning, and multimodal large language model.
Strong Pytorch or TensorFlow programming
Roles And Responsibilities
The Data Scientist will join a vibrant Data Science team in the newly formed Data Science and ML Capability Center (CC) under the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Data Scientist will be responsible for development, deployment and support of data science solutions/products in an agile fashion on a range of business issues. They will also be accountable for adhering to Shell quality standards for producing digital solutions.
Key Characteristics
Create full-stack data science application/tools on a digital platform
Accountable for delivery of data science products in a production scale environment
Manage the product lifecycle especially relating to data science, development to support
Transform proof of concepts into a larger deployable product in Shell. Rinse and repeat, cross-pollinate ideas across projects and assets
Partner with P&T Research teams, convert Proof of Concepts into scalable data products
Will adhere to the principles of delivering quality through the MCDS digital quality initiative by conducting regular health checks, audits, code reviews to ensure that clean and maintainable production-level code is being produced by project teams
Will evaluate and benchmark all new asset related initiatives prior to developing solutions.
Contributes to community building initiatives like CoE, CoP.
Job Title: ML Engineer
Location : Houston, Texas (Should be local to Houston Texas. Only)
Long Term
Job Details.
Degree in STEM field, Ph.D preferred.
master in Deep Learning, Reinforcement Learning, and multimodal large language model.
Strong Pytorch or TensorFlow programming
Roles And Responsibilities
The Data Scientist will join a vibrant Data Science team in the newly formed Data Science and ML Capability Center (CC) under the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The Data Scientist will be responsible for development, deployment and support of data science solutions/products in an agile fashion on a range of business issues. They will also be accountable for adhering to Shell quality standards for producing digital solutions.
Key Characteristics
Create full-stack data science application/tools on a digital platform
Accountable for delivery of data science products in a production scale environment
Manage the product lifecycle especially relating to data science, development to support
Transform proof of concepts into a larger deployable product in Shell. Rinse and repeat, cross-pollinate ideas across projects and assets
Partner with P&T Research teams, convert Proof of Concepts into scalable data products
Will adhere to the principles of delivering quality through the MCDS digital quality initiative by conducting regular health checks, audits, code reviews to ensure that clean and maintainable production-level code is being produced by project teams
Will evaluate and benchmark all new asset related initiatives prior to developing solutions.
Contributes to community building initiatives like CoE, CoP.