AI & ML Engineer enhancing energy management software solutions at GreenPocket GmbH. Focusing on modern LLM architectures and AI integration for innovative user experience.
About the role
- Machine Learning Engineer developing AI/ML facing applications for Roche's drug discovery process. Collaborating with scientists and engineers to optimize research through AI technologies and methodologies.
Responsibilities
- Work closely with Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and others
- Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems
- Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality
- Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications
- Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives
- Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques
- Contribute to architectural decisions, code reviews, and the evolution of our development processes
- Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.
Requirements
- Bachelor's or Master’s in Computer Science or similar technical field
- 2+ years of professional experience in machine learning or similar relevant experience
- Strong proficiency with AI/ML frameworks, libraries, and toolsets
- Expert knowledge of statistics, machine learning theory, and algorithms
- Strong knowledge of ML performance optimization, GPU best practices
- Experience with kubernetes, relational databases, NoSQL databases, or data lakes
- Experience working on cloud-native architectures in public clouds (ideally AWS)
- Proven understanding and application of engineering best practices
- Excellent communication skills and ability to build trusted partnerships with internal and external collaborators
- Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.
- Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus
- Experience working with scientists or in a research environment is advantageous
- Experience with workflow automation, GenAI, and/or agents is a plus.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- Discretionary annual bonus
- Relocation benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
Machine Learning Engineer at DentalMonitoring developing AI solutions for orthodontics. Responsibilities include model development, evaluation, deployment, and performance monitoring.
Machine Learning Engineer at Hiscox working on fraud detection and generative AI projects. Collaborating closely with data scientists and engineers to solve complex business challenges.
Internship focusing on programming robotic arms and using machine learning in simulations at Fraunhofer IIS. Opportunity to gain practical experience and contribute to innovative research.
Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.
Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.
Machine Learning Engineer working with Algorithm team on customer onboarding processes. Focus on execution and automation of models using computer vision and AI in sports industry.