SAIC
SAIC
SAIC के लिए उपलब्ध प्रोफ़ाइल सामग्री वास्तव में SAIC के बजाय Bitly का वर्णन करती हुई प्रतीत होती है। इसमें लिंक प्रबंधन और QR कोड के लिए क्लाउड-आधारित SaaS प्लेटफ़ॉर्म का उल्लेख है, जिसमें URL छोटा करना, डायनेमिक QR कोड, ब्रांडेड लिंक, लिंक एनालिटिक्स, UTM अभियान ट्रैकिंग, मोबाइल-अनुकूल लैंडिंग पेज, डिजिटल बिज़नेस कार्ड, डेवलपर API और AI-सक्षम सुविधाएँ शामिल हैं। उत्पाद विवरण रिटेल, उपभोक्ता पैकेज्ड वस्तुओं, आतिथ्य, मीडिया, स्वास्थ्य सेवा, वित्त और शिक्षा सहित विभिन्न क्षेत्रों में काम करने वाले मार्केटिंग पेशेवरों, डेवलपरों और एंटरप्राइज़ टीमों को लक्षित करता है तथा इंटीग्रेशन, एनालिटिक्स और एंटरप्राइज़ क्षमताओं पर ज़ोर देता है। SAIC या उसकी भर्ती गतिविधियों का प्रतिनिधित्व करने से पहले इस जानकारी का सत्यापन किया जाना चाहिए।

Principal AI and Machine Learning Developer

Lead the development and deployment of secure AI and machine learning prototypes for SAIC’s defense and intelligence missions. Work across generative AI, computer vision, MLOps, and cloud environments.

विवरण

  • Design, build, and deploy advanced visual AI and machine learning prototypes using generative AI and large language models, natural language processing, computer vision, and predictive analytics.
  • Partner with program leaders and stakeholders to shape prototypes around user workflows and evolving technical needs.
  • Move sandboxed proofs of concept into secure, multi-tenant cloud environments such as AWS C2S and Azure Secret, as well as air-gapped networks.
  • Create automated CI/CD pipelines, containerize applications, and meet federal software assurance and security standards.
  • Manage technical work across multiple active programs with overlapping deadlines.
  • Coordinate schedules with several project managers to deliver high-priority milestones.
  • Present live technical demonstrations to senior Intelligence Community customers.
  • Keep codebases reusable and well maintained, and document system architecture.

आवश्यकताएँ

  • Bachelor’s degree in computer science, data science, engineering, or a related technical field and at least 9 years of relevant experience, or a master’s degree and at least 7 years of relevant experience.
  • U.S. citizenship.
  • Active Top Secret clearance with the ability to obtain TS/SCI clearance.
  • Proficiency in Python and software engineering practices, including Git, unit testing, and clean code architecture.
  • Practical experience developing machine learning models with PyTorch or TensorFlow.
  • Experience working with structured and unstructured data.
  • Preferred: Experience deploying AI and machine learning models in secure, multi-tenant cloud environments or air-gapped networks.
  • Preferred: Familiarity with MLOps and orchestration platforms such as MLflow, Kubeflow, Apache Airflow, or Triton Inference Server.
  • Preferred: Experience creating functional, interactive demonstration interfaces with Streamlit or Gradio.
  • Preferred: Familiarity with Intelligence Community missions.

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