Lead Machine Learning Engineer

Leads the design development and deployment of machine learning models to address moderately complex to complex business challenges. Applies advanced technical expertise and organizational knowledge to independently solve problems that may lack well-defined solutions ensuring alignment with strategic objectives and operational requirements.

Responsibilities

• Serve as a senior technical resource for Machine Learning AI and Generative AI initiatives.
• Provide technical leadership and mentorship to engineers and data scientists.
• Translate business requirements into scalable maintainable technical solutions.
• Promote engineering best practices across software development MLOps and cloud-native platforms.
• Collaborate with cross-functional teams to deliver business value through AI and data-driven solutions.
• Contribute to the design and evolution of scalable ML/AI architectures and operational processes.
• Evaluate emerging technologies and recommend opportunities for adoption when appropriate.

Job Tasks

• Conduct code reviews design discussions and technical troubleshooting sessions.
• Design develop deploy and support production ML and AI solutions using Azure Databricks and containerized services.
• Build reusable frameworks APIs deployment patterns and automation capabilities.
• Partner with architects engineers and platform teams to deliver secure scalable and maintainable solutions.
• Develop and operationalize machine learning and Generative AI solutions that support business objectives.
• Integrate AI services APIs and enterprise data sources into production applications and workflows.
• Contribute to model deployment monitoring and lifecycle management activities.
• Participate in Agile ceremonies technical planning and solution design reviews.
• Contribute to shared code repositories through peer reviews testing and continuous integration practices.
• Support production deployments incident response troubleshooting and root cause analysis efforts.

Qualifications :

• 5 to 8 years of professional experience in machine learning engineering or related fields demonstrating mastery of advanced technical skills and independent project leadership.
• Bachelors degree in Computer Science Data Science Engineering Mathematics or a related technical discipline; advanced degrees preferred.

Skills

• Advanced proficiency in machine learning algorithms model development and evaluation techniques.
• Strong programming skills in Python and experience with machine learning libraries such as TensorFlow PyTorch or scikit-learn.
• Ability to independently solve complex problems with limited guidance leveraging deep organizational and functional knowledge.
• Effective communication skills with the ability to articulate technical concepts and collaborate across teams.
• Experience designing scalable machine learning systems and integrating them into production workflows.

Software Application

• Microsoft Azure (Azure Container Apps Azure AI Services Azure Storage Azure Key Vault Azure Monitor Event Hubs and related cloud services)
• Azure Machine Learning for model development deployment monitoring and lifecycle management
• Databricks for data engineering machine learning and large-scale analytics
• GitHub (GitHub Enterprise Actions and repository management) for source control CI/CD and DevOps automation
• Python and associated ML libraries (TensorFlow PyTorch scikit-learn Pandas NumPy)
• Containerization and orchestration technologies (Docker Kubernetes Azure Container Apps)
• REST APIs and integration frameworks for connecting AI services enterprise applications and data platforms

Additional Information :

Location: Must reside in the Ann Arbor area or be willing to relocate 

Benefits:
    Paid Holidays and Vacation 
    Medical Dental & Vision benefits that start on the first day of employment
    No-cost mental health support for employee and dependents
    Childcare tuition discounts
    No-cost fitness nutrition and wellness programs 
    Fertility benefits
    Adoption assistance
    401k matching contributions 
    15% off the purchase price of stock 
    Company bonus 

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time