

Emma of Torre.ai
AI /ML Engineer
ā - 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.
š - Country
United States
š± - Currency
$ USD
-
š° - Day rate
Unknown
-
šļø - Date
August 9, 2026
š - Duration
Unknown
-
šļø - Location
Hybrid
-
š - Contract
Unknown
-
š - Security
Unknown
-
š - Location detailed
United States
-
š§ - 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
Iām 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
Iām 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






