Machine Learning Engineer Intern contributing to AI solutions for financial services. Engaging in hands - on ML projects and real production issues in a hybrid working environment.
About the role
- Machine Learning Engineer designing and implementing cutting-edge ML technologies. Collaborating with data scientists to create innovative solutions that drive impactful projects.
Responsibilities
- Provide technical recommendations and evaluate feasibility to guide the development of scalable ML solutions
- Collect and analyze technical requirements to ensure robust and efficient data science implementations
- Design and implement scalable and maintainable ML pipeline architectures
- Develop and optimize modular, efficient code for managing and deploying ML models
- Create and design APIs and interfaces for seamless integration of ML solutions
- Develop and implement frameworks for the latest ML technologies
Requirements
- 5+ years of experience in the data, AI, or machine learning field
- Minimum of a Bachelor's degree in Computer Science, Data Science, or a related field
- Expert knowledge in Python, Git, MLflow, and AzureML
- Proven experience creating and maintaining scalable, robust ML pipelines
- Strong understanding of agentic platforms
- Excellent problem-solving skills and the ability to communicate technical concepts effectively to non‑technical partners
- Ability to collect, interpret, and translate technical requirements from various stakeholders
- Skills in Generative AI and modern development practices
Benefits
- Unique career paths across health, nutrition and beauty
- A chance to impact millions of consumers every day
- A science-led company, cutting edge research and creativity everywhere
- Growth that keeps up with you
- A culture that lifts you up
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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