Machine Learning Rust Software Engineer

Zelis Healthcare LLC
US - Oklahoma - Oklahoma City
November 4, 2024

The Zelis Data Intelligence (ZDI) Business Unit seeks a talented engineer, fluent in Rust , with experience in Machine Learning related engineering.
We are building and maintaining software using Rust to ingest, parse, process, and serve significant datasets, making use of SIMD, Apache Arrow, Apache Data Fusion, Polars, and similar technologies.
Rust is also a core component to our ML operations and the ideal candidate has experience in the creation and/or understanding and/or the deployment of ML models and LLMs.
We are stewards of complex and significant healthcare data sets, on a mission to boil the complexity to solve big problems.
You will contribute to and be responsible for the development and maintenance of lots of microservices, that contribute to the overall system architecture.
This requires discipline in writing readable, maintainable code, supported by testing where appropriate.
We will prioritize individuals with experience in ML fundamentals and is interested in contributing to the development of an ML platform.
We work closely together, wear lots of hats, operate with a high degree of autonomy, and treat others the way we'd like to be treated.
Location and Workplace Flexibility:
We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St.
Louis MO, St.
Petersburg FL, and Hyderabad, India.
We foster a hybrid and remote friendly culture and all of our employee's work locations are based on the needs of the position and determined by the Leadership team.
In this position, you'll be responsible for:

Deeply understanding common ML algorithms, the latest in GenAI, and ML engineering best practices
Writing easily maintainable, extendable, and understandable code that adheres to software engineering design principles
Optimizing code for efficiency, reducing unnecessary CPU and memory overhead and costs wherever possible
Designing, developing, and maintaining scalable, and resilient software architecture to serve customer needs
Suggesting and making use of open-source software.
Technologies we make use of:
AWS, Unix, Docker, Snowflake, OpenTelemetry, Airflow
You might be a good fit if you have:

5+ years in a Software Engineer role
A collaborative, self-motivating, self-reliant, and ongoing pursuit of knowledge mindset
Experience developing and deploying ML and GenAI models
Experience with AWS, Unix, Docker, Snowflake, OpenTelemetry, Airflow
Embraces a DevOps mindset and software engineering best practices (source control, testing, code review)
Bachelor's degree or equivalent experience
Preferred Experience:

5+ years backend engineer, with experience working on ML applications , building scalable production applications, working with large data sets, solving technical problems, and owning the entire development lifecycle
Experience with Apache Arrow/Data Fusion/Polars
Commitment to Diversity, Equity, Inclusion, and Belonging:
At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations.
We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work.
Equal Employment Opportunity:
Zelis is proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities.
Accessibility Support:
We are dedicated to ensuring our application process is accessible to all candidates.
If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email ***.
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Read the full job description and apply online on the recuiter's web-site

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