4 machine learning engineer jobs at 4 companies in Boynton Beach, FL
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Modernizing Medicine: Cloud-based software for medical practice management and EHR.
3+ YOE3+ years in machine learning with AI agents and conversational NLP; experience with LangGraph/AutoGen/CrewAI or no-code/low-code frameworks; Python; AWS and Databricks; model fine-tuning and evaluation; guardrails and HIPAA compliance.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years ML engineering experience building and deploying LLM/GenAI solutions; proficiency in Python, LangChain/LangGraph, LLM memory and state management; strong collaboration and ML production skills.
Large Language Models (LLMs), OpenAI, Anthropic, Llama, Mistral, LangChain, LangGraph, Python, GCP, Vertex AI, BigQuery, GCS
7+ YOE4+ MgmtBachelor's in CS/SE/electronic engineering, 7+ years in ML platform operations (4+ years in leadership), knowledge of MLOps tools, cloud platforms, CI/CD, security/compliance, and stakeholder management.
Austin or Chicago or New York or Old Greenwich or San Francisco or West Palm Beach
$150k/yrOnsiteFull Time
WorldQuant: Develops systematic investment strategies through quantitative research and data.
Undergraduate or advanced degree in a quantitative field; programming in Python and/or C++; Linux experience; strong problem-solving and quantitative skills; interest in financial data, machine learning, and data engineering.