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Senior Azure AI Engineer
4 months ago
Description
Description:
Spyglass MTG (Microsoft Technology Group) is a Microsoft Gold Certified Partner. We hire people who are professional consultants in addition to being highly competent performers in their specific discipline. As a Consultant at Spyglass MTG you will be working on projects to develop Microsoft technology focused solutions for a variety of clients in industries such as Financial Services, Healthcare, Life Sciences, Manufacturing and Higher Education. Our office is located in Lincoln, RI, however our clients are typically located in the Greater Boston and New England area. You will be working in a team environment that consists of Spyglass and Client members.
Role Overview:
As a Senior Azure AI Engineer, you will be responsible for designing, developing, and implementing AI solutions on the Azure platform. You will collaborate closely with cross-functional teams to understand business requirements, architect scalable AI models, and deploy them into production environments. This role requires strong technical expertise in Azure AI services, machine learning algorithms, and cloud infrastructure.
Responsibilities:
Lead the design and development of AI solutions leveraging Azure AI services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
Engineer end-to-end AI pipelines for data ingestion, feature engineering, model training, and deployment.
Implement machine learning algorithms and models using programming languages such as Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
Optimize AI models for performance, scalability, and cost-efficiency on the Azure cloud platform.
Collaborate with DevOps teams to automate deployment pipelines and ensure smooth integration of AI solutions into production environments.
Stay current with emerging trends and best practices in AI, machine learning, and cloud computing, and apply them to enhance our solutions.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
5+ years of experience in designing and implementing AI solutions on the Azure platform.
Proficiency in programming languages such as Python, with experience in developing machine learning models.
Strong understanding of Azure AI services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
Experience with Rapid Automated Generation (RAG) techniques for accelerating AI model development and deployment.
Hands-on experience with cloud infrastructure and services, preferably Microsoft Azure.
Experience with containerization technologies such as Docker and Kubernetes is a plus.
Excellent problem-solving skills and ability to work effectively in a collaborative team environment.
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Benefits:
Medical, Vision and Dental Plans
Life and Disability Insurance
Open PTO Policy
Holiday PTO
Paid training certification
Bonus plan
401k
Flexible working arrangements
& more
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, citizenship, age, disability or protected veteran status.
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