Akkodis

Machine Learning Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in NYC/Mclean VA for 10 months, offering $80.58-$82/hour. Requires financial services experience, proficiency in ML engineering, Python, Scala, Kubernetes, TensorFlow, and real-time processing. No relocation candidates.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
656
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๐Ÿ—“๏ธ - Date
January 13, 2026
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
On-site
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๐Ÿ“„ - Contract
W2 Contractor
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๐Ÿ”’ - Security
Yes
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๐Ÿ“ - Location detailed
New York City Metropolitan Area
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๐Ÿง  - Skills detailed
#API (Application Programming Interface) #Automation #ML (Machine Learning) #Python #Security #Data Pipeline #Data Science #Scala #PyTorch #Transformers #Kubernetes #"ETL (Extract #Transform #Load)" #Data Engineering
Role description
Akkodis is seeking a ML engineers for a Contract job with a client in Mclean VA/ NYC . Ideally looking for applicants with a solid background in the financial services industry . Desired Skill Sets Job Title: ML engineers Location- NYC/Mclean VA -No relocation candidates Duration -10 months with extension Interviews- 1 round of interview โ€“ extensive coding Rate Range: $80.58 /hour to $82/hour on W2 /C2C (negotiable) ; The rate may be negotiable based on experience, education, geographic location, and other factors. Interviews 1 hour zoom video interview Must Skill Required โ€ข ML engineering โ€ข Python โ€ข Scala โ€ข Kubernetes โ€ข Tensor flow โ€ข PyTorch โ€ข Scikit-learn) โ€ข Real time processing Project overview This position is for ML decisioning team that own a platform does which does ML decision for mobile /web properties , does Campaign Arbitration through PV(present value ) to measure the ML scoring and show to UI partners. This team comprises of DE/ SE owns date pipeline /API , feature development of these properties .They are increasing the scope of this project by increasing the team to take on ML engineering hence the need to onboard ML engineer. The team is taking over the existing ML data pipeline own by the data science team/model training pipeline. Team is widespread in NY /Mclean .The team would be responsible to own end to end ML infrastructure. They are moving from Reno fast models to transformers models in later this year This role will be responsible for operation & maintenance of pipelines/built on Quickflow /heads down work on optimization/automation , scaling the infrastructure for additional customer to move discover back to customers /releasing ML models everyweek. They already have 1 Data engineer so this role will be focus on ML engineering side who will be partnering with the DE If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at 3039422431 /soma.chakraborty@akkodisgroup.com. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: ยท The California Fair Chance Act ยท Los Angeles City Fair Chance Ordinance ยท Los Angeles County Fair Chance Ordinance for Employers ยท San Francisco Fair Chance Ordinance