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Top Hybrid Machine Learning Jobs in New York City, NY

16 Hours Ago
Hybrid
New York, NY, USA
184K-260K Annually
Senior level
184K-260K Annually
Senior level
Financial Services
The role involves using machine learning for operations business insights, building scalable analytics capabilities, developing production-quality code, collaborating with data scientists to deploy ML services, mentoring junior staff, and communicating results to stakeholders.
Top Skills: Python
3 Days Ago
Hybrid
New York, NY, USA
159K-197K Annually
Senior level
159K-197K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Machine Learning Engineer at Capital One, you will design, build, and implement machine learning applications and systems at scale. You will collaborate with product and data science teams, automate tests and deployment, and monitor model performance and operation in production. Your role will encompass various ML engineering activities, including optimizing data pipelines and utilizing cloud-based architectures for efficient model deployment.
Top Skills: JavaPythonScala
3 Days Ago
Hybrid
New York, NY, USA
150K-186K Annually
Entry level
150K-186K Annually
Entry level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Develop advanced algorithms for complex problems, execute statistical and data mining techniques on large datasets, evaluate emerging datasets for analytics, and contribute to research for thought leadership.
Top Skills: PysparkPython

Featured Jobs

7 Days Ago
Hybrid
New York, NY, USA
140K-210K Annually
Senior level
140K-210K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
The role involves developing and optimizing NLP algorithms, training large language models, collaborating with cross-functional teams, and contributing to machine learning research initiatives. The engineer will drive improvements in the data processing pipeline and mentor junior team members.
Top Skills: Python
7 Days Ago
Hybrid
New York, NY, USA
165K-242K Annually
Senior level
165K-242K Annually
Senior level
AdTech • Digital Media • News + Entertainment
As a Lead Machine Learning Engineer, you will design and implement machine learning solutions, collaborate with product and engineering teams, and oversee project execution. Your role includes writing code, setting project milestones, conducting code reviews, coaching team members, and ensuring best practices for service maintenance and deployment.
Top Skills: JavaKotlinScala
9 Days Ago
Hybrid
New York, NY, USA
71K-134K Annually
Senior level
71K-134K Annually
Senior level
Cloud • Insurance • Professional Services • Analytics • Cybersecurity
The Data Analytics Senior Consultant will leverage analytical and technical skills to enhance CNA's underwriting strategies through the development of automated scorecards, scenario analysis tools, and business insights. This role involves collaboration with senior leadership and various teams to drive significant business impacts and improve processes across commercial insurance products.
Top Skills: Microsoft PowerbiSQL
10 Days Ago
Hybrid
New York, NY, USA
157K-198K Annually
Mid level
157K-198K Annually
Mid level
AdTech • Digital Media • Internet of Things • Marketing Tech • Mobile • Software
Senior Machine Learning Engineers at Altice USA will deploy end-to-end AI and ML solutions to address business challenges. They will collaborate with stakeholders to gather requirements, conduct data analysis, manage projects, and communicate insights. They will require expertise in machine learning techniques and coding in Python and R, as well as cloud computing and data warehousing.
Top Skills: PythonRSQL
12 Days Ago
Hybrid
New York, NY, USA
141K-211K Annually
Junior
141K-211K Annually
Junior
eCommerce • Food • Sales • Software
As a Data Scientist II, you will design and implement machine learning solutions to improve restaurant recommendations, validate model performance, and collaborate with product and engineering teams. Responsibilities include maintaining automated training jobs, creating metrics dashboards, and exploring innovative algorithms to refine insights.
Top Skills: PythonRSQL
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