Develop and refine machine learning models that currently reside on business laptops.
Create a clear path to production for these models.
Conduct tool evaluations and pressure testing to ensure robustness and reliability.
Collaborate with the application development team to embed ML tools into applications.
Design and sketch out an ML ops model to streamline the deployment process.
Ensure that ML solutions are polished and integrated seamlessly with applications.
$60.00/hr to $90.00/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of
employment, including options for medical, dental, and vision insurance. Eligibility to enroll in
the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this
role will have access to paid sick leave and other paid time off benefits as required under the
applicable law of the worksite location.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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
HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available
here.
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https://insightglobal.com/workforce-privacy-policy/ .
Minimum 3-5 years of experience as Machine Learning Engineer
Proficiency in Python/pyspark and supporting numeric libraries, with experience in model production deployment
Experience with generative models, large language models
Exposure to advanced techniques such as reinforcement learning, Linear regression etc
Familiarity with LLMs such as Gemini, Llama, GPT models and their applications in real-world scenarios
Experience with cloud platforms (GCP)
Nice to have experience with open-source tools like MLflow
Nice to have experience with Snowflake and Snowpark
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.