[Remote] Sr. Associate, Artificial Intelligence
Note: The job is a remote job and is open to candidates in USA. L3Harris Technologies is seeking a Sr. Associate, Artificial Intelligence to support the research and development of AI solutions for internal and external product offerings. The role involves translating domain-specific problems into data-driven solutions, developing and validating machine learning models, improving MLOps and data pipelines, and deploying scalable AI/ML workloads.
Responsibilities
- Work with domain experts to identify which problems can and should be solved with machine learning
- Clearly translate domain-specific problems into solutions using data-driven models
- Actively contribute to the improvement of MLOps and data pipelines with the current team
- Work with multi-domain datasets and phenomenologies to develop effective data plans
- Perform data curation and exploratory data analysis
- Ensure proper regression testing, validation, and documentation of ML models
- Identify relevant pre-trained models and integrate into solution pipelines
- Identify state-of-the-art (SotA) foundation models and standardize use in larger AI solutions
- Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction
Skills
- To be eligible, applicants must be pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics or have completed their Master's degree within the last 12 months, regardless of age
- Proficiency with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
- Proficiency with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
- Proficiency with Python and building Virtual Environments (e.g., Conda, UV, Docker)
- Demonstrable experience developing models using classical and SotA Machine Learning
- Experience maintaining training and inference infrastructure for ML models
Benefits
- Health and disability insurance
- 401(k) match
- Flexible spending accounts
- EAP
- Education assistance
- Parental leave
- Paid time off
- Company-paid holidays
- The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.
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