Top Hybrid Machine Learning Jobs in Dallas, TX

Partner with cross-functional team to deliver customer-oriented data science solutions. Utilize Python and various technologies to analyze large volumes of data and build machine learning models. Excellent technical skills and ability to think creatively are required. Minimum of 2 years experience in data analytics and machine learning.

As a Manager of Data Science at Capital One, you will lead the Consumer Identity Machine Learning team in developing real-time, personalized customer experiences across digital products. Responsibilities include building machine learning models, collaborating with business teams, and writing software for data analysis.

Design, develop, and implement machine learning algorithms and models, collaborate with data scientists, deploy machine learning models into production systems, conduct hyper parameter optimization, research and analyze data sets, communicate AI capabilities, collaborate closely with cloud and SRE teams.

The Manager of Machine Learning at Apex Fintech Solutions leads a team of data scientists and ML engineers to create new data products from financial transactions. Responsibilities include developing ML models, collaborating with stakeholders, and staying updated on advancements in machine learning. The ideal candidate has a Bachelor's degree in a quantitative field, 5+ years of experience in ML solutions, and 3+ years of team management experience in technology-focused companies.