Job Description
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
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
💡 Quick Summary
Seeking a career-building opportunity? The Remote - ML Data Engineer | Machine Learning Data Engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
