Tech Lead

Yantran LLC

  • REDMOND, WA
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Computer Visionunmatched
    • Data Scienceunmatched
    • Decision Supportunmatched
    • Deep Learningunmatched
    • Dockerunmatched
    • GCP (Good Clinical Practices)unmatched
    • Google Search Engineunmatched
    • Machine Learningunmatched
    • Microsoft Windows Azureunmatched
    • Modeling Languagesunmatched
    • Natural Language Processing (NLP)unmatched
    • NoSQLunmatched
    • Operational Strategyunmatched
    • Problem Solving Skillsunmatched
    • Python Programming/Scripting Languageunmatched
    • REST (Representational State Transfer)unmatched
    • Relational Databases (RDBMS)unmatched
    • Scalable System Developmentunmatched
    • Strategic Planningunmatched
    • Team Playerunmatched
    • Technical Leadershipunmatched

    Description

    The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision making, and support strategic initiatives for the environmental and social specialists in the World Bank Group. This role is central to the VPUa €s digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.
    Bachelora €s or Mastera €s degree in Computer Science, Data Science, Engineering, or related field.
    Experience
    Minimum 3 years of experience in AI/ML model development and deployment.
    Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP).
    Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions.
    Technical Skills
    Skilled in a € Azure AI/Google Vertex Search, Vector Databases, fine tuning the RAG, NLP model development, API Management (facilitates access to different sources of data)
    Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
    Expertise deep learning, computer vision, and large language models.
    Familiarity with REST APIs, NoSQL, and RDBMS.
    Soft Skills
    Strong analytical and problem solving abilities.
    Excellent communication and teamwork skills.
    Strategic thinking and innovation mindset.
    3. Certifications (Preferred)
    Microsoft Certified: Azure AI Engineer Associate
    Google Machine Learning Engineer
    SAFe Agile Software Engineer (ASE)
    Certification in AI Ethics

    Numbers & Facts

    LocationREDMOND, WA

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