Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Responsibilities
- Own and deliver key Machine Learning / Computer Vision components or features of a project.
- Design and implement targeted initiatives to optimize internal or edge systems’ efficiency and output.
- Identify novel solutions and take an active role in designing application units.
- Develop advanced-scope tools to automate research and development processes and enhance workflow efficiency.
- Support graduated AI solutions throughout their production lifecycle and construct prototypes.
- Ensure seamless integration between data pipelines and ML workflows.
- Collaborate on feature engineering, format specification and data coherency assurance / validation.
- Leverage data orchestration tools.
- Support infrastructure, scalability and reliability for ML projects.
- Ensure performance standards adherence for ML derived services.
- Prioritize platform capabilities based on product needs
- Align on timelines and deliverables.
- Collaborate on "the art of the possible".
- Align on APIs and microservice protocols.
- Coordinate to ensure optimal resource usage.
Requirements
- 2+ years of experience working on Machine Learning / Computer Vision systems at the edge.
- Strong communicator
- Strong practical problem-solving and algorithmic skills
- Strong proficiency in Python or expert in a low-level / systems programming language
- Solid understanding of software engineering principles, version control, and CI/CD
- Deep understanding of ML algorithms, tuning, training, and evaluation procedures
- Strong analytical skills
- Experience with moving models from research to production
- Ability to design, execute and deliver small-scale applications
- Ability to independently write research reports
Benefits
- Commitment to creating an environment where everyone can succeed
- Diversity and inclusion initiatives
- Zero tolerance policy for bias and discrimination
- A safe and inclusive workplace
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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