remote
Machine Learning Engineer, WWPS ProServe Data and Machine Learning
Machine Learning Engineer
Machine Learning Engineer to design and deploy scalable AI/ML solutions, specializing in generative AI and AWS cloud infrastructure.
About the role
Key Responsibilities
- Design and implement scalable, secure AI/ML solutions on AWS tailored to customer needs, including model selection and fine-tuning for specific use cases
- Develop and deploy machine learning models and generative AI applications to solve real-world business problems, optimizing performance at scale
- Collaborate with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective implementation strategies
- Provide technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery
- Act as a trusted advisor on the latest AI/ML advancements, emerging technologies, and innovative approaches to maximize business impact
- Share knowledge through mentoring, training, and creating reusable AI/ML artifacts to drive team innovation
Requirements
- Proficiency in architecting complex, scalable, and secure machine learning solutions
- Experience with generative AI algorithms and their real-world applications
- Strong background in machine learning, model training, and fine-tuning
- Ability to assess data infrastructure and develop proof-of-concepts for AI solutions
- Active TS/SCI security clearance with polygraph required
Skills
machine learninggenerative aiawspythonmodel trainingai solution architecture