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Remote - ML Data Engineer  | Machine Learning Data Engineer

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 
Washington (USA), United States

Offer summary

Qualifications:

Bachelor's degree in Computer Science or equivalent, 8+ years of experience in data engineering, Proficiency in Python and SQL, Experience with AWS services for ML.

Key responsabilities:

  • Develop data pipelines for machine learning
  • Collaborate with team members on projects
Resource Informatics Group, Inc logo
Resource Informatics Group, Inc SME https://www.rigusinc.com/
51 - 200 Employees
About Resource Informatics Group, Inc
We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.
See more Resource Informatics Group, Inc offers

Job description

Role: Senior ML Data Analytics Engineer
Location: Seattle, WA - Remote
Duration: 6+ months start with

Requirements
  • Must have a Bachelor's degree in Computer Science/Information Systems Management or equivalent
  • 8+ years of experience working in data engineering
  • Demonstrated proficiency in Python, including experience with coroutines, NumPy/SciPy, Pandas
  • Experience with AWS services relevant to machine learning and data engineering, including EC2, SageMaker, S3, and Kinesis as well as SQL
  • Problem-solving, communication skills and the ability to work effectively in a team environment

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Pandas (Python Package)NumPy (Python Package)Python (Programming Language)Amazon Web ServicesSciPyAmazon Elastic Compute CloudSage 50 (Accounting Software)Kinaxis (Software)Amazon S3Data EngineeringSQL (Programming Language)

Other Skills

  • Teamwork
  • Communication
  • Problem Solving
Are you interested?

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