BNY

Director, AI / Machine Learning Software Engineer

BNY

full-time

Posted on:

Origin:  • 🇺🇸 United States • Pennsylvania

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Job Level

Lead

Tech Stack

AirflowNumpyPythonPyTorchSparkSQL

About the role

  • Lead research initiatives, provide strategic direction on AI architecture, technical expertise, and craft strategic approaches on Machine Learning and Artificial Intelligence products.
  • Has deep knowledge of the AI and Machine Learning field, and the practical applications of ML/AI concepts.
  • Conduct technical research studies to provide additional facts needed to make informed strategic decisions.
  • Establishes strong relationships with internal teams to gain an understanding of their strategies, objectives, and tactics to develop a comprehensive success measurement plan.
  • Provides expertise in the most complex processes of integrating ML/AI across existing and modified applications.
  • Collaborate with and support leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results.
  • Stays abreast of emerging technologies and identifies potential use of new and existing technology within lines of business by participating in industry-wide conferences and research and by having in-depth knowledge of various business areas.
  • Contribute to the achievement of Application Development objectives. Mentors and develops a successful team of machine learning engineers.

Requirements

  • Advanced degree in STEM engineering degree, or equivalent AI/ML research work experience
  • 8+ years of related experience; securities or financial services industry is a plus
  • Knowledge of data structures, algorithms and software engineering fundamentals
  • Proven experience with modern ML frameworks in Python, (Pytorch, Numpy)
  • Strong understanding of clean code practices
  • Ability to communicate technical ideas and express complex concepts to different types of audience
  • Experienced in designing end to end pipelines with MLOps
  • Proficient with SQL, Spark, Airflow and data pipeline design in dealing with real-time financial data
  • Experience in AI, Machine Learning, Reinforcement Learning, Natural Language Processing