Pantheon Data is seeking a Senior AI/ML Engineer to join their team supporting a U.S. Navy digital transformation project. The ideal candidate will have deep technical expertise in developing, training, and deploying machine learning models to solve complex problems in engineering and logistics domains.
Requirements
- Experience in cloud infrastructure development: AWS and Azure.
- Experience in one or more of the ML model development libraries: TensorFlow, PyTorch, scikit-learn, etc.
- Strong experience with NoSQL, Python, and basic Linux.
- 6+ years professional, hands-on experience in an AI/ML engineering role.
- Experience using big data technologies (Hadoop, Hive, HBase, Spark, EMR, etc.)
- SQL, relational and non-relational databases.
- Demonstrated experience with ML Flow and Databricks.
Responsibilities
- Develop and deploy AI models and algorithms on Azure or AWS platforms to deliver scalable and reliable AI solutions.
- Design, build, and optimize AI pipelines, data ingestion, preprocessing, model training, and deployment workflows on cloud platform.
- Conduct research and stay up to date with the latest AI technologies, frameworks, and tools offered by Azure and AWS.
- Evaluate and recommend the most suitable AI services based on project requirements and constraints.
- Implement and optimize distributed computing and parallel processing techniques to handle large-scale datasets and high-performance AI models.
- Ensure security, privacy, and compliance of AI solutions by following best practices and cloud platform guidelines.
- Collaborate with DevOps/MLOps teams to automate the deployment, scaling, and monitoring of AI applications on Azure or AWS.
Other
- A Bachelor of Science (BS) degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science, from an ABET accredited or CAE designated institution.
- Security+ Certification
- Excellent communication skills with the ability to interact clearly and succinctly in written and oral presentations.
- Detail-oriented, self-motivated, and organized.
- Ability to work effectively remotely in cross-functional teams.
