Top AI & Machine Learning Jobs in New York City, NY

Design, build, and deploy scalable AI/ML systems: data ingestion, model development (Python, TensorFlow), NLP, software integration (C++, Java), data pipeline management, client collaboration, and mentoring junior team members.

Lead design and deployment of scalable AI and ML systems, drive business development, mentor AI engineering teams, collaborate with clients, implement data infrastructure and pipelines, and apply Python/Java to productionize models.

Lead analytics for M&A deals by building scalable data pipelines, applying ML and generative AI for due diligence and forecasting, automating reporting, visualizing insights, mentoring junior staff, and advising Private Equity clients to drive investment and portfolio value creation.

Lead design and implementation of enterprise AI architectures and integration solutions, manage multiple projects and executive client relationships, drive strategic technology planning and business development, mentor teams, conduct market research and feasibility studies, and promote technological innovation across the firm.

Develop and optimize AI and machine learning algorithms, models, and scalable Python systems. Transform raw data into actionable insights, apply machine learning libraries and NLP techniques, improve data quality, and deliver automation solutions for clients. The role also involves complex data analysis, stakeholder collaboration, client relationship management, and navigating ambiguous business challenges.

Lead design, development, and deployment of scalable AI/ML systems. Oversee data wrangling, integration, modeling, and software implementation. Use Python, C++, Java and ML libraries (TensorFlow, Scikit-Learn). Collaborate with stakeholders, validate outcomes, coach diverse teams, and drive innovation to deliver client-focused AI solutions at scale.

Design, build, and deploy AI and machine learning solutions at scale. Develop data pipelines and scalable models, perform data wrangling and analysis, apply NLP and neural networks, collaborate with clients and teams, and contribute to open-source and iterative improvement of AI systems.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.