Top Hybrid Machine Learning Jobs
Research, design, and build high-impact end-to-end machine learning products for customer growth. Contribute to the design of scalable ML systems in production. Collaborate with cross-functional teams to design solutions. Requires 3 years of experience in building products with personalization and familiarity with common ML frameworks like TensorFlow, PyTorch, and more. Must have production experience implementing ML pipelines and models and excellent communication skills.
Lead and grow a team to build state of the art event-driven real-time ML ecosystem. Provide technical direction for the ML application and pipeline management team. Partner with Product and stakeholders to deliver innovative platform solutions for scalable ML development and deployment. Mentor and facilitate individual careers by optimizing for their success and growth. Maintain a culture of innovation, quality, transparency, inclusion, and empathy. Work in an Agile environment that focuses on collaboration and teamwork.
Collaborate with team members to design, implement, and deliver high-quality software solutions using Python, Pandas, SQL, AWS, Docker, and ML packages. Lead software projects from inception to deployment, conduct code reviews, optimize code for performance, and address technical challenges. Degree in Computer Science or related field preferred.
Collaborate with team members to design, implement, and deliver high-quality software solutions. Lead the development and implementation of software projects. Work with Python, Pandas, SQL, AWS, Docker, and ML packages. Must have 3+ years of software development experience in Python.
Featured Jobs
Seeking an experienced Staff Machine Learning Engineer - MLOps Platform to join the Machine Learning team at Realtor.com. Responsible for designing data pipelines, enhancing infrastructure, optimizing model performance, and collaborating with product and engineering teams. Requires experience in Python, R, Spark, SQL, AWS, Kubernetes, and MLOps frameworks.
As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. You will provide technical leadership, guide engineers, collaborate with cross-functional teams, and write high-quality, maintainable code. You should have a strong background in Machine Learning frameworks, including Pytorch, Tensorflow, and NLP. Additionally, you should have experience building machine learning models and a proven track record of technical leadership.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize automated decisioning pipeline, experiment with modeling techniques, and partner cross-functionally with finance, product, and engineering teams.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, ensure high code quality, collaborate with various teams, and solve technical challenges at scale. Mentor and support fellow engineers for growth in development capabilities.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products across workstreams, experiment with modeling techniques on customer data, partner cross-functionally with finance, product, and engineering teams.
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.
Develop machine learning models for detecting payment fraud and merchant risk. Analyze large datasets and communicate findings. Collaborate with teams to devise effective risk and fraud solutions.
Lead complex machine learning projects that require cross-organizational collaboration. Analyze complex datasets to make decisions and investigate new approaches to business problems. Write code for production systems and anticipate risks in machine learning solutions.
The Senior Machine Learning Engineer at Klaviyo will work on building foundational models to extract insights from data streams, applying cutting-edge techniques in deep learning, NLP, and recommender systems. This role involves the entire ML lifecycle from inception to production, ensuring high code quality and machine learning performance.
Seeking a Senior Scientist in AI/ML Cheminformatics to develop new workflows for discovering medicines using advanced AI/ML approaches. Responsibilities include virtual screening, lead optimization, and collaboration with discovery teams. Required qualifications include a Ph.D. in relevant disciplines, experience with deep learning frameworks, proficiency in Python, and knowledge of machine learning best practices.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve business problems, collaborating with cross-functional teams, and ensuring high availability and performance of ML applications. This role involves working with cloud-based architectures, optimizing data pipelines, and following best practices in ML engineering.
Top hybrid Companies Hiring Data + Analytics Roles
See All
.jpg)
All Filters
No Results
No Results
