обновлено 2 дня назад
Vice President Software Engineering (AI/ML)
130 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Vice President Software Engineering (AI/ML): Building and productionizing mission-critical machine learning models for the Compliance Division to mitigate regulatory and reputational risk with an accent on distributed architecture and big data scale. Focus on developing end-to-end ML pipelines, optimizing model precision/recall, and scaling infrastructure for massive unstructured datasets.
Location: New York, New York, United States
Salary: USD 130,000 - 250,000
Company
A leading global investment banking, securities and investment management firm.
What you will do
- Drive end-to-end Machine Learning projects characterized by high scale and complexity.
- Build ML infrastructure, focusing on feature engineering and scaling models for big data.
- Develop, productionize, and maintain machine learning models.
- Run ML experiments by tuning features and modeling approaches, documenting results.
- Collaborate with ML researchers to accelerate the integration of cutting-edge models.
- Perform code reviews to ensure high software quality and standards.
Requirements
- Bachelor's or Master's degree in Computer Science or a similar field.
- 10+ years of hands-on experience building scalable machine learning systems.
- Expertise in Python and PySpark.
- Experience with distributed technologies such as Scala, Iceberg, HDFS, AWS, or GCP.
- Proficiency with ML/DL toolkits including TensorFlow, PyTorch, Scikit-Learn, and HuggingFace.
- Strong Computer Science fundamentals in algorithms, data structures, and system design.
Nice to have
- Prior experience with LLMs and Prompt Engineering.
- Experience architecting and deploying ML applications on AWS/GCP.
- Experience in architecture design for distributed systems.
Culture & Benefits
- Access to the latest technology and massive amounts of structured and unstructured data.
- Commitment to fostering diversity and inclusion in the workplace.
- Extensive training and development opportunities for professional growth.
- Comprehensive benefits, including wellness and personal finance offerings.
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