Machine Learning Engineer

AeroVironment•Jessup, MD

6d•$150,000 - $262,500•Hybrid

About The Position

AV is seeking a Software Engineer 3 with Machine Learning (ML) & Artificial Intelligence (AI) experience, for our PRIME contract. The ideal candidate will be responsible for designing and developing robust software solutions that leverage ML and AI techniques to enhance cyber defense and cyber intelligence solutions. This role requires a deep understanding of both programming languages, as well as experience in implementing ML/AI algorithms and frameworks. You will be part of a talented software team focused on developing solutions to innovate mission-critical systems and applications. Those interested in this position should be comfortable with change and learning new technologies, as this opportunity is focused on finding innovative solutions to our customer's toughest challenges. The team will also address additional challenges related to provisioning of infrastructure and cloud migration within a hybrid, multi-cloud environment (e.g., VMware, AWS & Azure), Cyber Threat Intelligence, DevOps, and Containerization & Orchestration. If you are a software engineer with experience in both Java and Python, have experience in ML and AI, and are interested in solving new challenges, we certainly would like to have you as a part of our team.

Requirements

Twenty years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Deep understanding of AI/ML capabilities within client environment.
Strong software development skills with Java, Python, Object Oriented Programming concepts and patterns.
Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.
Solid understanding of data structures, algorithms, and computational complexity.
Excellent problem-solving and analytical skills, with keen attention to detail.
Ability to work independently as well as collaborate effectively within a team environment.
Experience in the full SDLC (Software Development Life Cycle) that includes Requirements Analysis, Design, Coding, Testing, Implementation, Maintenance with the Agile Methodology

Nice To Haves

Good understanding of software project management tools (GitLab, Jenkins, Maven, Jira, Confluence)
Previous experience in developing and deploying ML/AI models in real-world applications.
Knowledge of distributed computing frameworks such as Apache Spark or Hadoop.
Knowledge of data science workflows, ETL, and data lakes.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with containerization technologies such as Docker and Kubernetes.
Contributions to open-source projects or active participation in the developer community.

Responsibilities

Evaluating models for applicability to mission problems, including speed, accuracy, security, and compliance.
Understanding of standard AI / ML data formats for models, weights, and data interchange.
Applying industry standard techniques for compressing and fine-tuning models to fit target platforms. This would include CPU-only implementations and edge devices.
Optimizing performance and efficiency of ML/AI models through continuous testing and refinement.
Designing and developing ML and AI algorithms and integrate those ML and AI algorithms into systems to solve emerging mission critical problems.
Providing Leadership and support for corporate AI efforts, including the AI Working Group, Innovation Center, and proposal activities.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Conducting research and experiments to identify and evaluate the most suitable ML/AI techniques for specific use cases.
Staying up to date with the latest advancements in ML/AI technologies and best practices.
Researching new technologies, understanding emerging challenges to mission critical solutions and quick reaction problem identification & resolution.
Analyzing, designing, developing, testing deploying, and maintaining Java & Python based innovative solutions to address emerging mission challenges, using industry best practices and frameworks.
Documenting experiment results, prototype software solutions and ensuring that all technical documentation (i.e. configuration guides, install guides) meets requirements.
Collaborating with other team members and stakeholders to jointly solve problems and find solutions as a team.
Working collaboratively in an Agile development environment.