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eTeam · 7 hours ago

Machine Learning Operations Engineer (Data Engineer)

Pittsburgh, PA

Full-time

Hybrid

Entry, Mid Level

$33.58/hr - $33.58/hr

2+ years exp

eTeam is seeking a Machine Learning Operations Engineer to assist in conducting studies for training and evaluating models. The role involves collaborating with the research team, recruiting participants, setting up data collection systems, and ensuring data quality for various studies.

Information Technology

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Collaborate closely with the research team to comprehend the research objectives and the questions we aim to address

Recruit participants for the studies and obtain their consent

Set up the hardware and data collection software developed by the team to conduct the studies

Collect data in various environments

Inspect the quality of the data and upload it to servers

Support data labeling needs

Coordinate effectively with all stakeholders to ensure the successful execution of the studies

Qualification

Data collectionPythonBash scriptingCommand line operationsEffective communication

Required

2-3 Years of experience

Dedicated to delivering results on time

Flexible in support of the iterative nature of our investigations

Technically proficient in conducting studies including running software scripts and handling hardware prototypes

An effective communicator who can interact with the team and participants in a professional and respectful manner

Preferred

Experience writing scripts to automate small tasks through bash or Python (Nice to Have)

Experience with command line/terminal operations on MacOS

Company

eTeam

Glassdoor4.0

eTeam is a staffing agency that also provides payrolling services.

Founded in 1999

Somerset, New Jersey, USA

501-1000 employees

http://www.eteaminc.com

H1B Sponsorship

eTeam has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (36)

2024 (205)

2023 (11)

2022 (7)

2021 (24)

2020 (25)