Sr. Gen AI/ML Engineer (Prefer Local-DMV)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Gen AI/ML Engineer in Washington, DC, with a long-term contract. Requires strong Python skills, Azure OpenAI experience, and expertise in AI/ML model development. Must be local to the DMV area and work onsite four days a week.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Synapse #Langchain #NumPy #ML (Machine Learning) #Data Engineering #Scala #"ETL (Extract #Transform #Load)" #Pandas #Azure #Data Science #SQL (Structured Query Language) #Spark (Apache Spark) #Databricks #AI (Artificial Intelligence) #Azure SQL #PySpark #Programming #NoSQL #Azure Machine Learning #Python
Role description
Position Summary:
Title: Sr. Gen AI/ML Engineer
Duration: Long Term
Location: Washington, DC 20433
4 Days onsite per week from Day1
Interview Mode: In-Person
Note: We are seeking a GenAI Engineer to help deliver various Generative AI use cases. The ideal candidate should have a strong system architecture background in the data science domain, solid Python programming skills, and hands-on experience with Azure OpenAI and cognitive service integrations. Experience with Agentic AI frameworks and Microsoft Copilot integrations is highly preferred.
Key Responsibilities:
• Act as a GenAI Developer with deep experience in developing AI/ML models, including LLMs and RAG-based architectures.
• Design, build, and optimize scalable data and ML pipelines in Python.
• Develop, train, deploy, and monitor AI/ML and generative AI models using Azure Machine Learning and Azure OpenAI.
• Collaborate with data scientists, solution architects, and product teams to deliver enterprise-grade ML solutions.
• Hands-on experience with Azure OpenAI and Azure ML services (Data Factory, Databricks, Synapse).
• Expertise in Azure technologies: Azure AD, Azure Search, Azure SQL, Cosmos DB, Azure OpenAI, and Cognitive Services.
• Must have real-world experience in prompt engineering, fine-tuning GPT models, and building RAG-based solutions.
• Proven experience with Agentic AI frameworks such as LangChain, LangGraph, or similar agent orchestration tools.
• Solid experience in Python programming (Pandas, NumPy, PySpark, etc.).
• Solid experience in data engineering (ETL, pipelines, SQL/NoSQL).
• Knowledge and experience working with Microsoft 365 Copilot extensibility (Graph connectors, plugins, prompts).
• Strong background in chatbot development, including integration of OpenAI GPT models and conversational AI flows.
• Open-source contributions related to LLMs or chatbot frameworks are a strong plus.
• Ability to collaborate with cross-functional teams to deliver end-to-end GenAI solutions.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Position Summary:
Title: Sr. Gen AI/ML Engineer
Duration: Long Term
Location: Washington, DC 20433
4 Days onsite per week from Day1
Interview Mode: In-Person
Note: We are seeking a GenAI Engineer to help deliver various Generative AI use cases. The ideal candidate should have a strong system architecture background in the data science domain, solid Python programming skills, and hands-on experience with Azure OpenAI and cognitive service integrations. Experience with Agentic AI frameworks and Microsoft Copilot integrations is highly preferred.
Key Responsibilities:
• Act as a GenAI Developer with deep experience in developing AI/ML models, including LLMs and RAG-based architectures.
• Design, build, and optimize scalable data and ML pipelines in Python.
• Develop, train, deploy, and monitor AI/ML and generative AI models using Azure Machine Learning and Azure OpenAI.
• Collaborate with data scientists, solution architects, and product teams to deliver enterprise-grade ML solutions.
• Hands-on experience with Azure OpenAI and Azure ML services (Data Factory, Databricks, Synapse).
• Expertise in Azure technologies: Azure AD, Azure Search, Azure SQL, Cosmos DB, Azure OpenAI, and Cognitive Services.
• Must have real-world experience in prompt engineering, fine-tuning GPT models, and building RAG-based solutions.
• Proven experience with Agentic AI frameworks such as LangChain, LangGraph, or similar agent orchestration tools.
• Solid experience in Python programming (Pandas, NumPy, PySpark, etc.).
• Solid experience in data engineering (ETL, pipelines, SQL/NoSQL).
• Knowledge and experience working with Microsoft 365 Copilot extensibility (Graph connectors, plugins, prompts).
• Strong background in chatbot development, including integration of OpenAI GPT models and conversational AI flows.
• Open-source contributions related to LLMs or chatbot frameworks are a strong plus.
• Ability to collaborate with cross-functional teams to deliver end-to-end GenAI solutions.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
