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 researchers and engineers, SWEs, product owners/managers, and business stakeholders, and participate in the 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 and delightful user experience solutions utilizing ML, NLP, GenAI, Agentic technologies.

• 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 10+ years, Master's with 7+ years, or PhD with 5+ 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, is strongly preferred.

• 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.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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