Lead AI/ML & MLOps Engineer executing projects from data foundations to model deployment. Collaborating with sales to drive AI/ML engagements for our clients.
About the role
- Research Machine Learning Scientist working with real-world datasets at a leading global financial institution. Collaborating with engineering teams to advance machine learning techniques for banking products.
Responsibilities
- Join a world-class team of machine learning researchers with an extensive track record in both academia and industry
- Research, develop, and apply new techniques in deep learning to advance our industry leading products
- Work with large-scale, real-world datasets that range from banking transactions to large document collections
- Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround
- Grow your expertise by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
- Represent the team at leading ML conferences, present your research, and stay at the forefront of the field
Requirements
- PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field
- Strong background in machine learning and deep learning
- 2+ years of research experience with publication record
- Proven track record of applying machine learning to solve real-world problems
- Depth of experience in relevant ML research disciplines
- Hands on experience in software systems development
- Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
- Experience with Spark, SQL, or comparable database systems
- Experience using GPUs for accelerated deep learning training
- Familiarity with cloud computing systems like Azure or AWS
Benefits
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Applied ML Engineer working on AI - driven insights at Kaseya. Collaborating with product teams to enhance features with machine learning and data analysis.
Adversarial Machine Learning Engineer conducting adversarial testing and simulations on LLM - driven AI systems for enterprise security. Collaborating with teams to validate and document findings.
MLOps Engineer managing infrastructure for large 2D and 3D media datasets at NBCUniversal. Responsible for automation, reproducibility, and performance of machine learning lifecycles.
Senior ML Engineer leading the strategic direction of machine learning infrastructure for global food delivery platform. Collaborating with Data Science team for seamless model deployment and innovation.
Machine Learning Intern/Co - op at Cohere working on developing and training models for AI applications. Join a team focused on advancing AI technology in an inclusive environment.
Machine Learning Engineer designing and deploying detection ML systems for social engineering defense platform at Doppel. Collaborating to mitigate evolving digital threats using AI.
Senior Software Developer responsible for designing and developing solutions in data engineering and machine learning. Collaborating with teams to deliver scalable software solutions with agile methodologies.
Senior ML Engineer responsible for designing and building ML pipelines for a Trust Scoring platform. Involves productionizing models and implementing MLOps best practices.
Principal Machine Learning Engineer designing the core ML systems for AI agents at Workday. Collaborating in cross - functional teams to integrate ML solutions into the platform.