Striveworks
Striveworks
Striveworks उन संगठनों के लिए मशीन लर्निंग ऑपरेशंस सॉफ़्टवेयर विकसित करती है, जिन्हें अधिक तेज़ी, निगरानी और जवाबदेही के साथ AI को व्यवहार में लागू करने की आवश्यकता होती है। इसका Chariot प्लेटफ़ॉर्म मॉडल के पूरे जीवनचक्र को समर्थन देता है—मॉडल बनाने और तैनात करने से लेकर प्रदर्शन की निगरानी तथा ऑडिट ट्रेल बनाए रखने तक। कंपनी की क्षमताओं में कंप्यूटर विज़न, प्राकृतिक भाषा प्रसंस्करण और जनरेटिव AI शामिल हैं, जिनमें गवर्नेंस और डेटा-आधारित टूल को विशेषज्ञ टीमों से आगे भी उपयोगी बनाने पर ज़ोर दिया जाता है। Striveworks स्वास्थ्य सेवा, लॉजिस्टिक्स, परामर्श, भौतिक सुरक्षा, राष्ट्रीय सुरक्षा, साइबर सुरक्षा और वित्त जैसे क्षेत्रों में काम करती है तथा विभिन्न परिचालन परिवेशों के अनुकूल परिनियोजन के तरीके उपलब्ध कराती है।

Senior Machine Learning Engineer - Texas Remote

Build LLM-powered agents, data workflows, and dependable machine learning systems for Striveworks’ AI operations platform. Support mission-critical government deployments through customer-focused engineering and direct collaboration.

विवरण

  • Create machine learning solutions for customer engagements and internal products
  • Coordinate complex data pipelines and agentic workflows
  • Contribute to the development of Chariot, Striveworks’ proprietary AI operations platform
  • Build dependable AI systems spanning models, agents, tools, and workflows
  • Evaluate and enhance AI system performance and usability
  • Partner with customers, data scientists, software engineers, and DevOps engineers
  • Guide platform enhancements and broaden the company’s technical capabilities
  • Assist mission-critical deployments through direct customer engagement
  • Travel as much as 20% of the time

आवश्यकताएँ

  • Bachelor’s degree in computer science, machine learning, or a related field, plus at least six years of relevant experience
  • Proven delivery of data-focused systems involving data engineering, data cleaning, ETL pipelines, machine learning, and production analytics
  • Hands-on experience designing, developing, evaluating, and optimizing LLM-based agents and agentic workflows
  • Experience connecting AI systems to external tools, APIs, MCP servers, and enterprise data sources
  • Experience creating evaluation methods and frameworks for agent performance, reliability, and safety
  • Working knowledge of RAG, tool use, planning, and multi-agent system architectures
  • Strong command of machine learning languages and libraries, with advanced Python skills and experience with TensorFlow, PyTorch, and/or scikit-learn
  • Solid software engineering foundation in algorithms, data structures, and design patterns
  • Proficiency in at least one systems language, including Go, Rust, C++, Java, or Scala
  • Experience with current software development practices and tools such as Agile, version control, issue tracking, CI/CD, and debugging
  • US citizenship and eligibility and willingness to obtain and maintain a Secret US security clearance

लाभ

  • Medical, dental, and vision insurance
  • Optional life, long-term disability, accident, and hospital indemnity coverage
  • HSA and FSA plans, including dependent care FSA
  • 401(k) retirement plan
  • Unlimited paid time off
  • Paid parental leave
  • Equity grants
  • Cash bonuses
  • Fully remote work, with hybrid or on-site options available

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