Machine Learning Engineer

Post Date

Mar 01, 2024



ZIP/Postal Code

Jul 25, 2024 Insight Global

Job Type



Computer Engineering

Req #


Pay Rate

$62 - $94 (hourly estimate)

Job Description

A manufacturing client of Insight Global's is actively looking for a Machine Learning Engineer to join their Data Science team that currently consists of a Data Science Manager, a Data Engineer, and a Data Scientist. This individual will play a key role in building and operationalizing AI models throughout the enterprise with an end goal of full scale implementation. This person will spearhead two key projects centered around automating email based orders as well as building and maintaining call transcript pipelines and email analytics. A successful candidate will possess leadership qualities as they will be partnering heavily with both internal and external business partners, building business cases, and identifying gaps.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected].

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Required Skills & Experience

* Experience developing and maintaining complex SQL queries and scripts

* Utilize Python and Spark/Pyspark for data analysis, transformation, & visualization

* Implement data management, integration, and database development techniques

* Experience with LLMs prompt engineering (parameter tuning, general deployment, & monitoring strategies

* Experience utilizing version control tools (Git/GitHub)

* Experience leading system design processes (ML Models, building data pipelines, automation architecture, and system deployment

* Knowledge of data warehousing and data modeling

* Expertise in DevOps/MLOps best practices (CI/CD, process automation and optimization)

* Experience working in cloud platforms

Nice to Have Skills & Experience

* Microsoft Graph API or Microsoft Power Automate experience

- Cloud platforms preferred: Azure and Databricks

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.