Emma of Torre.ai

AI /ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer, remote for USA residents, with a contract length and pay rate to be determined. Key skills include proficiency in AWS, Python, Generative AI, and LLMs. Experience deploying AI applications in production is required.
šŸŒŽ - Country
United States
šŸ’± - Currency
$ USD
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šŸ’° - Day rate
Unknown
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šŸ—“ļø - Date
August 9, 2026
šŸ•’ - Duration
Unknown
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šŸļø - Location
Hybrid
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šŸ“„ - Contract
Unknown
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šŸ”’ - Security
Unknown
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šŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Airflow #Spark SQL #Microsoft Azure #MLflow #AWS (Amazon Web Services) #ML (Machine Learning) #SQL (Structured Query Language) #Databases #Spark (Apache Spark) #Docker #Python #AI (Artificial Intelligence) #TensorFlow #Cloud #API (Application Programming Interface) #Kubernetes #Scala #Langchain #PyTorch #Azure
Role description
I’m helping Tunde Kozma find a top candidate to join their team the role of AI /ML Engineer. You will build the future of intelligent systems by developing advanced generative AI solutions. Compensation: Submit your quote while applying Location: Remote (for USA residents) What makes you a strong candidate: • You are proficient in AWS, Airflow, Claude, Docker, Generative Artificial Intelligence (Generative AI), Kubernetes, LangChain, LangGraph, Large Language Models (LLMs), MLflow, Machine Learning, Microsoft Azure, OpenAI API, PyTorch, Python, Retrieval-Augmented Generation (RAG), SQL, Spark SQL, TensorFlow, and Vector Databases • English - Conversational Responsibilities and more: AI / ML Engineer Opportunities (United States) Currently connecting talented AI and Machine Learning professionals with multiple opportunities across the United States. Locations include: • San Francisco • New York • Boston • Seattle Remote, hybrid, and on-site opportunities are available. Some opportunities may offer visa sponsorship for qualified international candidates. If your background matches a current or future opportunity, you may be contacted by a recruiter. Typical responsibilities • Build AI-powered applications and intelligent agents. • Develop and deploy LLM and Generative AI solutions. • Design machine learning pipelines and production systems. • Fine-tune and evaluate AI models. • Build Retrieval-Augmented Generation (RAG) applications. • Develop multi-agent AI systems and orchestration workflows. • Work with cloud platforms and scalable AI infrastructure. • Collaborate with product, engineering, and research teams. Common qualifications • Experience with Python and modern AI/ML frameworks. • Knowledge of LLMs, RAG, and Generative AI. • Experience deploying AI applications in production. • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. • Strong problem-solving and communication skills. More at Torre.ai