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Machine Learning Engineer for Cloud Native AI SAAS

Machine Learning Engineer for Cloud Native AI SAAS

SherlockTalentSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Job Title : AI / ML & Data Ingestion Engineer

Location : Bay Area, CA

Job Type : Founding Level SWE, Full Time, 3 days onsite

Salary : Founders-level equity and $200K-$250K+

Job ID : 7335

AI / ML & Data Ingestion Engineer - Develops and optimizes machine learning models that drive the company’s sales software. Collaborates on MLOps practices and integrates large language models (LLMs) into APIs and AI agents.

Core Strengths :

  • Primary : ML Model Development
  • Secondary : MLOps and LLM Integration

Skills & Responsibilities :

  • Design, develop, and validate ML models for account scoring, lead scoring, and predictive analytics
  • Experience with deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch)
  • Streamline model deployment and maintenance via automated pipelines
  • Integrate LLMs into APIs and AI agents for data summarization and insights
  • Analyze large datasets to improve models and ensure data quality
  • Apply Natural Language Processing and Vector Databases techniques
  • Monitor and optimize model performance with A / B testing and other methods
  • Align models with business goals and recommend data-driven improvements
  • Education : Bachelors or Masters in Computer Science or Engineering preferred

    Why Join Us?

    Work on impactful AI and machine learning projects in a team that values innovation and collaboration.

    Apply now with your ML and LLM expertise to help build the future!

    About the Company :

  • Proven leadership with startup success and strong VC backing
  • Focus on customizing and optimizing existing LLMs for specific markets
  • Strategic approach tailored to market demands
  • SherlockTalent offers $1,000 bonuses for successful referrals. H-1B transfers are possible.

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    Machine Learning Engineer • San Francisco, CA, United States

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