

Gen AI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI/ML Engineer with a Master's degree in a relevant field, 2+ years of GenAI/LLM experience, and proficiency in Python. Key skills include NLP, Reinforcement Learning, and experience with Agentforce or Salesforce Einstein. Contract length and pay rate are unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 15, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Datasets #TensorFlow #Transformers #Langchain #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Agile #Azure #GIT #CRM (Customer Relationship Management) #Version Control #Reinforcement Learning #PyTorch #Computer Science #Python #AWS (Amazon Web Services) #Libraries #ML (Machine Learning) #NLP (Natural Language Processing) #Cloud #GCP (Google Cloud Platform)
Role description
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Position: Gen AI/ML resource with experience with either Agentforce (primarily) or Salesforce Einstein
Required Certifications/Education:
β’ Masterβs degree in computer science, Artificial Intelligence, Machine Learning, or a related field. (Equivalent practical experience may be considered)
β’ Relevant Certifications on AI, ML, GenAI and Agentic AI disciplines (at minimum 2-3 certifications are recommended) such as Agentic AI certifications/badges offered by leading industry course providers and platforms (like Courseera, Udemy, Deeplearning.AI etc.)
Required Experience:
β’ Required 2+ years of experience developing and deploying GenAI/LLM powered applications/products
β’ Required 1+ years of experience building Agentic AI systems, including planning, reasoning, and decision-making components.
β’ Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, transformers, LangChain, LangGraph, Autogen, LLamaIndex etc.).
β’ Required experience with Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization.
β’ Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.
β’ Required experience working with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure, IBM, Salesforce).
β’ Required experience with version control systems (e.g., Git).
β’ Required strong communication and collaborative skills.
β’ Required experience working in an Agile development environment.
Required Platform Experience (One or more of the following):
β’ Required experience with either Agentforce (primarily) or Salesforce Einstein or similar CRM-integrated AI platforms.
β’ Required experience integrating AI models with enterprise IT systems.