ML Ops Specialist

Summary

Join Slingshot as the MLOps Science Engineer to design, develop, and implement feature architectures, data systems, and processes to facilitate team effectiveness and improve data science products. As a key member of the Science team, you will collaborate with data scientists and engineers to deliver models into production infrastructure. With a strong matrixed science team culture, you will work directly with engineering partners to facilitate the flow, integrity, and utility of data science products.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience with aerospace and astrodynamics datasets
• Interest in working at a startup organization with a broad set of opportunities and challenges
• History with, and understanding of data science approaches and opportunities
• Experience developing, implementing, and transitioning sophisticated technology to production