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

Slingshot Aerospace is hiring a
ML Ops Specialist