AI Developer, Senior - Machine Learning & Cloud
Overview
You will own the design and deployment of AI-driven features for enterprise clients, scaling from prototype to production across multiple industries. You will join a team of 10 engineers and data scientists, collaborating directly with solution architects to shape product roadmaps. Working with Microsoft Azure and Python, you will build models that directly impact revenue-generating services. This role stands out for its access to Microsoft partnerships and a 22-year track record of delivering mission-critical solutions.
What You'll Do6
- 1Build Python-based AI models for predictive analytics and natural language processing, shipping the first MVP within 90 days.
- 2Design APIs with Azure Functions and FastAPI to serve machine learning endpoints at scale.
- 3Lead the integration of Azure Cognitive Services into existing customer platforms.
- 4Drive the migration of on-premise workloads to Azure Kubernetes Service, achieving a 40% reduction in infrastructure costs.
- 5Debug distributed systems using Azure Monitor and Application Insights to resolve performance bottlenecks.
- 6Ship end-to-end data pipelines with Azure Data Factory and Databricks to feed training datasets.
Requirements6
- 15+ years developing AI solutions with Python and TensorFlow or PyTorch.
- 23+ years deploying models on Microsoft Azure, including Azure ML and Azure DevOps.
- 3Hands-on experience with Docker and Kubernetes for containerized AI workloads.
- 4Proven track record building REST APIs with FastAPI or Flask.
- 5Familiarity with Azure OpenAI and LangChain for LLM-based applications.
- 6Bachelor's degree in Computer Science, Engineering, or a related field.
Salary Insight
Salary not disclosed in listing
Location
Required Skills
Similar open positions
Explore active roles that match your skills and interests.
Atash Enterprises, LLC
VerifiedAzure DevOps Lead - AI Delivery
You will own the path from business problem to shipped, adopted AI product. As the single point of accountability between business stakeholders and the engineering team, you will shape what gets built, define what 'done' means, and ensure delivered solutions produce measurable value. You will work with a team of engineers and data scientists, collaborating with business units across the organization. This role stands out for its blend of technical credibility and commercial fluency, allowing you to challenge engineering decisions with authority.
Chandra Technologies, Inc.
VerifiedAI Enablement Engineer - C# Python Vue.js Azure Hybrid Raleigh North Carolina
Lead design and implementation of AI solutions using C# Python Vue.js and Azure. Deliver scalable AI pipelines that improve operational efficiency. Own the end-to-end development lifecycle from concept to production. Differentiate by driving cross‑functional collaboration across engineering teams.
MRI India
VerifiedAI Senior Developer MRI India
Lead AI/ML initiatives designing LLM-based applications and RAG systems while architecting Azure services. Mentor junior engineers and drive technical excellence across global teams.
Neumeric Technologies Corporation
VerifiedAI Developer, Machine Learning & NLP
You will architect and deploy production-grade AI solutions for a long-term contract in Raleigh, NC. You own model development from data exploration to MLOps deployment. You work on-site with the engineering team, bridging research and product. This role requires Python mastery and hands-on NLP experience, with a mandatory in-person interview.
Wework Solutions Inc
VerifiedFull Stack Developer Python AI
Lead full-stack development focusing on Python AI technologies. Own backend and frontend solutions. Deliver scalable products within a hybrid work model.
VDart, Inc.
VerifiedSenior AI DevOps Engineer AI Ops Platform Engineering
Design and implement scalable AI-driven CI/CD pipelines using Python AWS React Kubernetes Spark Airflow. Own automated workflows that accelerate software delivery while integrating generative AI and model context protocol solutions.