Machine Learning Ops Specialist, Slingshot Aerospace

• Must be eligible to obtain or maintain US Government Security Clearance
• 2+ years in ML Operations, FMOps, data science deployment, or relevant experience which may include demonstrated experience designing and implementing databases, data systems, feature stores, and modeling pipelines in a data science team environment
• Bachelor's degree in computer science, engineering, mathematics, data science, physics, or other related disciplines
• Proficiency in a formal programming language (e.g. Julia, Python, java/kotlin, C/C++)
• Ability to identify creative data and feature solutions for challenging projects
• Experience working with teams and groups of data scientists, engineers, or computer scientists
• Demonstrated ability to develop and deploy a host of data and data science services in the AWS cloud using Terraform or similar
• Familiarity with software development lifecycle and CI/CD processes
• Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment that spans military, government, and industry partners
• Excellent verbal and written communications skills
• Experience with distributed computing frameworks such as Ray, Spark, or Dask
• Previous experience with machine learning, AI, and data science processes

Desirable

• As the MLOps Science Engineer you will directly impact Slingshot’s vision; to accelerate space sustainability to create a safer and more connected world
• In your new role you will design, develop, and implement feature architectures, data systems, and processes to facilitate team effectiveness and improve data science products
• Collaborate with the MLOps Lead and data scientists to identify systems and processes likely to deliver effective features to modeling pipelines
• Build the infrastructure upon which the Science team develops and deploys models
• Work with members of the Science team to identify how to deliver models into our production infrastructure
• Implementing ETL processes for a broad range of data types
• Participate in a strong matrixed science team and culture and work directly with engineering partners to facilitate the flow, integrity, and utility of data science products
• Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose