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Machine Learning Engineer (Active Secret Clearance)
REMOTE · NEW DELHI · IN
—
Full-time
MID
About the Role
Striveworks is looking for a Machine Learning Engineer to help build and deploy AI solutions for national security and business challenges. You will work on the Chariot AIOps platform, developing ML pipelines, automating data engineering, and supporting mission-critical customer deployments. This is a fully remote role with up to 30% travel, or hybrid/on-site near Tacoma, WA.
Responsibilities
- Develop machine learning pipelines and custom analytics for image, video, text, geospatial, time series, and structured data
- Orchestrate and automate complex data engineering and analytic pipelines
- Contribute to design and implementation of core product functionality for Striveworks' AIOps platform
- Conduct mission-critical fieldwork in support of customers and stakeholders
Requirements
- BS degree in computer science, machine learning, or related discipline with 2+ years of relevant experience
- Experience with data-centric systems (data engineering, ETL, ML production analytics)
- Proficiency in software engineering fundamentals and at least one systems programming language (Go, Rust, C++, Java, Scala, etc.)
- Proficiency in Python and exposure to TensorFlow, PyTorch, and/or scikit-learn
- Active Secret (or above) US security clearance and US citizenship
Nice to Have
S
Striveworks
Austin · US · 75+ employees
Striveworks is an artificial intelligence company that specializes in AIOps and adaptive, trustworthy AI models. Its proprietary technology enables organizations to rapidly build, launch, and maintain AI models, with a primary focus on U.S. national security and enterprise clients.
