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.
About the role
- Senior Machine Learning Engineer developing machine learning solutions for Medtronic's Diabetes division. Collaborating with cross-functional teams and mentoring junior engineers for innovative healthcare technology.
Responsibilities
- Design, develop, and implement machine learning models and algorithms to solve complex business problems.
- Use software design principles to develop production ready code.
- Collect, preprocess, and analyze large datasets to train and evaluate machine learning models.
- Optimize and fine-tune machine learning models for performance and accuracy.
- Deploy machine learning models into production environments and monitor their performance.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
- Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders.
- Mentor and provide guidance to junior Machine Learning Engineers.
Requirements
- Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
- 5+ years of industry experience in writing production level, scalable code (e.g. in Python)
- 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning
- 4+ years of industry experience with distributed computing frameworks such as PySpark
- 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.).
- 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP
- 1 + years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock.
- Experience in building Agentic AI applications.
- 2+ years of technical leadership leading junior engineers in a product development setting
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible working arrangements
- Professional development opportunities
- Bonuses
- Stock options
- Equipment allowances
- Wellness programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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