We are seeking a senior AI Researcher to join our Core AI team.  As part of the team you will help solve complex business problems by developing viable cutting-edge AI/ML solutions.  You will develop and implement creative solutions that fundamentally transform business processes, delivering breakthrough improvements rather than incremental changes.  You will work closely with other AI/ML engineers, SWEs, product owners/managers, and business stakeholders, and participate in full lifecycle of solution development including requirements gathering with business, experimentation and algorithmic exploration, development and assistance with productization.

Key Responsibilities

• Work independently or as part of a team to help design and implement high accuracy & user experience solutions to business problems in the NLP, GenAI, Agentic, and/or ML space.

• Participate in all aspects of solution development including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, solution development, etc.

• Prototype, test, and iterate on novel AI models and approaches to solve complex business challenges.

• Collaborate with cross-functional teams to identify opportunities where AI can create significant business value, and transition solutions into production systems.

• Research and stay updated with the latest advancements in machine learning and AI technologies.

• Participate in code reviews, technical discussions, and knowledge sharing sessions.

• Communicate technical concepts and transformative ideas effectively to both technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor’s with 7+ years, Master’s with 5+ years, or PhD with 2+ years in Computer Science, Data Science, Machine Learning, or related field.

• Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, Generative AI, Agentic AI, and/or ML space.

• Hands-on experience with data processing, experimentation, and exploration.

• Strong programming skills in Python.

• Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills to collaborate with technical and non-technical stakeholders.

• Ability to work independently and collaboratively.

Additional Preferred Skills & Qualifications

• Understanding of the financial markets including experience with financial datasets.

• Experience with ML frameworks such as PyTorch, TensorFlow.

• Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.

• Previous experience working in an Agile environment.