Key Responsibilities:
- Design, implement, and scale AI/ML infrastructure and platforms on AWS to support serving and fine-tuning of models.
- Collaborate with cross-functional teams to ensure seamless integration and deployment of AI/ML solutions.
- Develop and optimize machine learning models and algorithms to meet business objectives.
- Stay updated with the latest advancements in AI/ML and Gen AI technologies and incorporate them into the organization's strategy.
- Leverage Databricks for data processing, model training, and deployment.
- Utilize Gen AI tools and frameworks to enhance model performance and capabilities.
- Implement best practices for LLM Ops to ensure efficient model lifecycle management.
- Lead the productionalization of Gen AI use cases, ensuring robust and scalable solutions.
- Work closely with data scientists, engineers, and product teams to deliver AI-driven solutions.
- Mentor and guide junior team members, fostering a culture of innovation and excellence.
- Monitor the performance of AI/ML models and platforms, identifying areas for improvement.
- Implement optimization techniques to enhance model accuracy, efficiency, and scalability.
Required qualifications, capabilities and skills:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum 8+ years of experience experience in AI/ML engineering, with a focus on AWS, Databricks, and Gen AI.
- Strong understanding of AI/ML algorithms, model serving, and fine-tuning techniques.
- Proven experience in LLM Ops and the productionalization of Gen AI use cases.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication and leadership skills, with the ability to influence and drive change.
Preferred qualifications, capabilities and skills:
- Experience with other cloud platforms and AI/ML tools.
- Familiarity with data engineering and data science workflows.
- Knowledge of regulatory and compliance requirements related to AI/ML solutions