Azure ML Engineer
GQRAbout the role
We're looking for an Azure Machine Learning Engineer to help build and deploy AI-powered solutions across a variety of business functions. This is a hands-on engineering role focused on machine learning, generative AI, and production AI systems that drive real business value.
You'll work closely with technical and business stakeholders to identify opportunities for automation, improved decision making, and enhanced productivity. The ideal candidate combines strong machine learning fundamentals with experience building solutions in Azure and Databricks environments.
This is a longterm contract role, onsite in NYC 3 days a week.
What You'll Do
Build, train, and deploy machine learning models in Azure
Develop AI and GenAI solutions for enterprise use cases
Design and maintain ML pipelines for training, evaluation, and inference
Work with large structured and unstructured datasets
Implement retrieval, embeddings, vector search, and prompt engineering techniques
Partner with business teams to translate requirements into scalable AI solutions
Evaluate model performance and continuously improve accuracy and business outcomes
Contribute to MLOps, monitoring, and production deployment best practices
What We're Looking For
5+ years of experience building machine learning solutions in enterprise environments
Strong Python development skills
Experience with Azure Machine Learning and Azure AI services
Hands-on experience with Databricks
Experience building and deploying ML models into production
Knowledge of LLMs, prompt engineering, RAG, embeddings, and vector search
Experience working with both structured and unstructured data
Strong communication skills and the ability to work directly with business stakeholders
Nice to Have
Experience with LangChain or similar AI frameworks
MLOps experience including model versioning and monitoring
Azure certifications
Experience with Azure OpenAI and modern GenAI tooling
If you're excited about applying machine learning and AI to solve real business problems and want to work on a variety of high-impact initiatives, we'd love to connect.
Responsibilities
- Build, train, and deploy machine learning models in Azure
- Develop AI and GenAI solutions for enterprise use cases
- Design and maintain ML pipelines for training, evaluation, and inference
- Work with large structured and unstructured datasets
- Implement retrieval, embeddings, vector search, and prompt engineering techniques
- Partner with business teams to translate requirements into scalable AI solutions
- Evaluate model performance and continuously improve accuracy and business outcomes
- Contribute to MLOps, monitoring, and production deployment best practices
Qualifications
- 5+ years of experience building machine learning solutions in enterprise environments
- Strong Python development skills
- Experience with Azure Machine Learning and Azure AI services
- Hands-on experience with Databricks
- Experience building and deploying ML models into production
- Knowledge of LLMs, prompt engineering, RAG, embeddings, and vector search
- Experience working with both structured and unstructured data
- Strong communication skills and the ability to work directly with business stakeholders
Skills mentioned
About GQR
GQR redefines total talent solutions, offering a bespoke blend of staffing, search, advisory, managed services, and cutting-edge software tailored to every employer's unique needs. Our commitment to excellence and our proactive approach allows us to provide solutions that are not only effective today but scalable for the future, ensuring our clients are always ahead in the rapidly evolving business landscape.