2+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analysts and Bachelor's Degree in Computer Programming, Science, Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
3+ years of experience in a Linux environment
Direct experience and demonstrated proficiency with Python programming to build containerized microservices that use message queues such as activemq or rabbitmq.
Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow)
Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch.
Experience with workload managers (SLURM, Argo Workflow, Airflow)
Strong problem solving and troubleshooting skills
Strong communication and interpersonal skills
Must possess excellent time management skills and the drive to work unsupervised
Active TS/SCI clearance required and eligibility to obtain a CI poly
Desired Skills:
Prior experience working with or within the Intelligence Community or a military intelligence unit
Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.)
computer vision related experience with torchvision or tensorflow object detection APIs.
Additional languages on top of Python preferred (C++, Julia, Go, R)
Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex)
Experience building data pipelines with spark, kafka, or nifi
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