Job Title: Machine Learning Engineer
Location: Bay Area, CA
Job Type: Founding Level SWE, Full Time
Salary: $200K+
Job ID: 7335
SherlockTalent is Hiring: Machine Learning Engineer
Are you passionate about crafting intelligent systems that drive actionable insights and revolutionize user experiences? SherlockTalent is looking for a Machine Learning Engineer to design, develop, and optimize cutting-edge machine learning models, integrate large language models (LLMs), and lead MLOps practices.
Core Strengths: Primary Focus: ML Model Development Secondary Focus: MLOps and LLM Integration Key Responsibilities: Design, develop, and validate machine learning models for account scoring, lead scoring, and predictive analytics. Streamline model deployment and maintenance through automated training and deployment pipelines. Integrate large language models (LLMs) into APIs and AI agents for data summarization, insights generation, and actionable intelligence. Analyze and preprocess large datasets to ensure data quality and guide model development. Monitor and optimize model performance in production environments using A/B testing and other evaluation frameworks. Collaborate with cross-functional teams to align models with business objectives and provide data-driven recommendations for product enhancement. Required Skills: Proficiency in designing and implementing machine learning models for various use cases. Experience with MLOps practices, including automated pipelines and model monitoring. Hands-on expertise in integrating LLMs into scalable systems and applications. Strong analytical skills to process large datasets and extract valuable insights. Familiarity with tools and frameworks for model training, deployment, and performance evaluation. Why Join Us? At SherlockTalent, you'll work on impactful projects, pushing the boundaries of AI and machine learning. Join a team that values innovation, collaboration, and the transformative power of technology.
Apply Now: Bring your expertise in machine learning and LLM integration to SherlockTalent. Let's build the future together!
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