Machine Learning Engineer for Cloud Native AI SAAS
SherlockTalentSan Francisco, CA, United Statesjob_description.job_card.30_days_ago
serp_jobs.job_preview.job_type
- serp_jobs.job_card.full_time
job_description.job_card.job_descriptionDesign, 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 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
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 :
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 :
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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