ITTConnect

Machine Learning Engineer / Gen AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer / Gen AI with 10+ years of experience, 4+ years in ML/GenAI, and expertise in LLMs, Python, and cloud-based AI deployment. Contract length and pay rate are unspecified; location is hybrid in the San Francisco Bay area or NYC.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 17, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Python #Cloud #Deployment #Kubernetes #AWS (Amazon Web Services) #OpenSearch #Azure #Consulting
Role description
ITTConnect is seeking an ML Engineer / Gen AI specialist to work for one of our clients, a major Technology Consulting firm with headquarters in Europe. They are experts in tailored technology consulting and services to banks, investment firms and other Financial vertical clients. Job location: San Francisco Bay area or NY City. Work Model: Ability to come into the office as requested Citizenship Requirement: U.S. Citizens Only Seniority: 10+ years of total experience About the role: The GenAI / ML Engineer will drive AI adoption across the organization. You will prototype and put in production generative AI features, integrate LLMs, and build infrastructure for inference. Responsibilities: • Integrate GenAI models (OpenAI, Anthropic, or local LLMs). • Perform fine-tuning, RAG, or prompt engineering. • Build and operate GPU-based inference systems, often on Kubernetes. • Embed AI capabilities into software products and services. • Collaborate closely with platform, data, and engineering teams. Requirements: • 10+ years of overall technology experience • 4+ years hands-on Machine Learning / GenAI experience required • Experience with LLMs, Python, and ML engineering practices. • Background in cloud-based AI deployment (AWS preferred). • Experience with GenAI products (such as OpenAI, Anthropic, Google Vertex AI, Azure OpenAI Service, RAG products, Elastic AI Search, AWS OpenSearch Vector Engine, etc)