Senior AI/ML Scientist

What You Will Do

• Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.
• Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.
• Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.
• Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.
• Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.
• Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.
• Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.
• Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.
• Drive continuous improvement by experimenting with novel techniques and refining existing models.
• Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.
• Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross-functional groups.

What You Bring

• Bachelor's degree or advanced degree (where required)
• 5+ years of experience in related field
• In lieu of degree, 7+ years of experience in related field

Skills

• Artificial Intelligence (AI)
• Benchmarking
• Best Practices Development
• Data Analysis
• Data Science
• Data Visualization
• Deep Learning Algorithms
• Machine Learning (ML)
• Machine Learning Methods
• Predictive Algorithms
• Prescriptive Analytics
• Reinforcement Learning
• Statistical Models
• Statistics