What are the responsibilities and job description for the Data Engineering and AI Manager position at Jobs via Dice?
Job Title
AI Model Deployment Engineer
Job Summary
We're seeking an experienced AI Model Deployment Engineer to join our team in the north suburbs of Chicago. As a key member of our engineering team, you'll be responsible for developing, deploying, and maintaining AI models that will revolutionize healthcare outcomes.
The successful candidate will have the opportunity to work closely with talented engineers and data scientists, leveraging the latest technologies to drive innovation and make a real difference in the healthcare sector. Key responsibilities include:
- Collaborating with data scientists and engineers to integrate machine learning algorithms into existing systems
- Designing and implementing machine learning pipelines and workflows
- Monitoring and troubleshooting machine learning models in production
- Ensuring compliance with data privacy and security regulations
- Conducting performance testing and tuning to optimize machine learning models
Responsibilities
You'll be responsible for:
- Developing, deploying, and maintaining AI models that will revolutionize healthcare outcomes
- Collaborating with data scientists and engineers to integrate machine learning algorithms into existing systems
- Designing and implementing machine learning pipelines and workflows
- Monitoring and troubleshooting machine learning models in production
- Ensuring compliance with data privacy and security regulations
- Conducting performance testing and tuning to optimize machine learning models
Requirements
To be considered for this role, you should have:
- A Bachelor's degree in Computer Science, Engineering, or a related field
- A minimum of 5 years of experience in MLOps, Data Engineering, or a related role
- Strong experience with cloud platforms such as Azure Machine Learning, AWS, and Google Cloud Platform
- Proficiency in programming languages such as Python and SQL
- Experience with Big Data technologies such as Spark
- Experience with Natural Language Processing (NLP) and GenAI
- Strong understanding of machine learning algorithms and principles
Benefits
We offer a comprehensive benefits package, including:
- Medical, Dental, Vision insurance
- Flexible work schedule
What We Offer
We're committed to providing our employees with opportunities for growth and development. As a member of our team, you'll have access to:
- Professional development opportunities
- Mentorship programs
- Opportunities to work on cutting-edge projects