Mindlance

Sr. Python AI/ML Developer (Need Local Candidate)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Python AI/ML Developer in Washington, DC, for 8 months, offering onsite work 4 days a week. Requires 5-7 years of Python experience, expertise in generative AI, and familiarity with cloud platforms and CI/CD pipelines.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
October 14, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Washington DC-Baltimore Area
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🧠 - Skills detailed
#Flask #Langchain #Azure #Cloud #Docker #FastAPI #AWS (Amazon Web Services) #GIT #Microservices #Databases #Python #Generative Models #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #ML (Machine Learning)
Role description
Title: Sr. Python AI/ML Developer (Need Local candidate) Duration : 8 Months - Long Term Location: Washington, DC 20433 4 Days onsite per week from Day1 About the Role: We are seeking a skilled and motivated Python AI/ML Developer with hands-on experience in Generative AI. In this role, you’ll be responsible for developing, deploying, and optimizing generative applications. Key Responsibilities: β€’ Design, develop, and maintain Python-based applications and microservices. β€’ Integrate large language models (LLMs) and multimodal generative models into production pipelines. β€’ Work with APIs and frameworks like Azure OpenAI, LangChain, LangGraph etc. β€’ Hands-on expertise with LLMs, RAG, vector databases, embeddings, and orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel). β€’ Collaborate with cross-functional teams to define requirements and deliver high-impact solutions. β€’ Stay up to date with the latest research and advancements in generative AI. Required Qualifications: β€’ 5-7 years of professional Python development experience. β€’ Experience deploying models via APIs, Flask/FastAPI, or other web frameworks. β€’ Strong understanding of data structures, algorithms, and software architecture. β€’ Familiarity with cloud platforms (AWS, GCP, Azure) and model hosting services. β€’ Experience with Git, Docker, CI/CD pipelines. β€œMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”