Machine Learning Engineer building next - generation agentic AI platforms for Salesforce. Collaborating with cross - functional teams to innovate and create impactful solutions.
About the role
- Machine Learning Engineer at Capital One working on productionizing ML applications in Agile teams. Focused on technical design, development, and implementation with cutting-edge technology.
Responsibilities
- Part of an Agile team dedicated to productionizing machine learning applications and systems at scale
- Participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms
- Focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications
- Continuously learn and apply the latest innovations and best practices in machine learning engineering
- Design, build, and/or deliver ML models and components that solve real-world business problems
- Inform ML infrastructure decisions using understanding of ML modeling techniques
- Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
- Collaborate as part of a cross-functional Agile team to create and enhance software for big data and ML applications
- Retrain, maintain, and monitor models in production
- Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
- Construct optimized data pipelines to feed ML models.
Requirements
- Bachelor’s Degree
- At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)
- At least 3 years of experience designing and building data-intensive solutions using distributed computing
- At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
- At least 1 year of experience productionizing, monitoring, and maintaining models
- 1+ years of experience building, scaling, and optimizing ML systems
- 1+ years of experience with data gathering and preparation for ML models
- 2+ years of experience developing performant, resilient, and maintainable code
- Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
- 3+ years of experience with distributed file systems or multi-node database paradigms
- Contributed to open source ML software
- Authored/co-authored a paper on a ML technique, model, or proof of concept
- 3+ years of experience building production-ready data pipelines that feed ML models
- Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Join Visium as a Junior Machine Learning Engineer internship, focusing on applied research projects using Machine Learning to transform business operations in Switzerland.
AI Engineer at Trunk Tools revolutionizing construction with intelligent automation and production - ready AI agents. Leading design and implementation of multi - agent systems for document and data processing.
Audio Machine Learning Co - op developing real - time AI - powered audio processing algorithms for Bose. Collaborating with experts to prototype and implement novel ML algorithms for various applications.
AI Center of Excellence Engineer at F5 supporting applied AI research, prototyping, and engineering initiatives. Evaluating AI techniques and creating integration recommendations for production systems.
Senior ML Engineer at Centra developing forecasting and AI - driven decision support for fashion brands. Collaborating to enhance ecommerce through machine learning and insights.
Staff ML/AI Engineer for healthcare communication solutions at Accurx. Leading AI/ML initiatives to enhance patient communication and healthcare efficiency.
Senior Machine Learning Engineer developing ML systems for healthcare communication technology at Accurx. Join our mission - driven team to solve real - world problems in healthcare.
Senior Developer at Valorem Reply delivering ML/AI applications on AWS. Collaborating with product and engineering teams to provide high - quality tech solutions.
Senior Developer building and evolving ML/AI applications on AWS for Valorem Reply. Collaborating closely with product, architecture, and engineering teams for quality solutions.