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 adopt 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.
Requirements & Skills:
Bachelor’s degree or advanced degree (where required)
5+ years of experience in related fields.
In lieu of a degree, 7+ years of experience in a related field.
Hands-on coding experience developing deep learning models
