

Quick Interviews - Quick Hire - ML Engineer - 100% Remote - 6 M0nths Contract - Direct Client
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Machine Learning Engineer position for a 6-month remote contract, requiring 5-10 years of coding experience, with at least 2 years in Machine Learning, Data Analysis, and Big Data. Key skills include Apache Spark, Hadoop, and scalable ML model deployment.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
June 12, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Data Processing #Scala #Data Analysis #Apache Spark #Big Data #Spark (Apache Spark) #Teradata #ML (Machine Learning) #Hadoop
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Accion Labs, is seeking the following. Apply via Dice today!
We are seeking an experienced Machine Learning Engineer for 6 month contract engagement. This is a remote role.
NOTE: Taking applications only from candidates who have 5-10 years of Coding experience with at least 2 years in Machine Learning, Data Analysis and Big Data
Technical Skills
β’ Strong expertise in Machine Learning both supervised and unsupervised methods
β’ Hands-on experience with Apache Spark and large-scale data processing
β’ Knowledge and working experience with Hadoop and Teradata
β’ Experience building and deploying scalable ML models in production environments
β’ Non-Technical Skills
β’ Excellent communication and client presentation skills
β’ Ability to present solutions and insights to clients effectively
β’ Collaborative mindset, with the ability to work cross-functionally in remote settings