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
- MLOps Engineer working on machine learning infrastructure and pipelines with collaborative teams. Involves model deployment, monitoring, and cross-functional collaboration.
Responsibilities
- Designing, building, and maintaining machine learning infrastructure and pipelines
- Collaborating with data scientists, pricing analysts, engineers, and business stakeholders
- Developing and managing scalable ML pipelines for training, validation, and deployment
- Automating model versioning, packaging, and deployment processes using CI/CD tools
- Assessing current solutions, identifying risks, and proposing improvements
- Developing infrastructure concepts and actionable roadmaps for goals
- Ensuring seamless integration with other data sources and systems
- Designing and maintaining Azure Databricks, Datafabric, and Datalake infrastructure
- Optimizing compute resource usage for cost-efficiency and performance
- Building monitoring systems to track model performance and operational metrics
- Contributing to initiatives around customer data ownership and quality
- Educating teams on hypothesis testing and A/B testing frameworks
- Promoting model governance, security, and compliance throughout the ML lifecycle
Requirements
- Proven experience in MLOps, data engineering, or analytics infrastructure
- Strong knowledge of ML frameworks and MLOps tools (e.g. MLflow)
- Familiarity with API development, authorization, monitoring and logging for APIs
- Knowledge of data versioning and model tracking tools
- Experience with cloud platforms (Azure Databricks, Datafabric, Datalake, and BigQuery)
- Proficiency in Python and experience with automation and orchestration tools
- Familiarity with monitoring and logging
- Understanding of digital marketing data flows and BPM systems
- Ability to communicate complex technical concepts to non-technical stakeholders
- Fluency in English and understanding of one of the Baltic languages.
Benefits
- Health insurance
- Additional vacation days
- Discounts on products for you and your family
- Special gifts for birthdays
- Personal development and training opportunities
- Wellbeing activities in the office
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
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.
Senior Machine Learning Engineer at Troveo designing and optimizing machine learning pipelines for AI video models. Collaborating with cross - functional teams to build scalable video data solutions.
AI/ML Engineer developing AI systems for data security at Nightfall. Collaborating with engineers and contributing to AI features.
Software Engineer focusing on ML infrastructure for drug discovery at Genesis AI. Leading engineering efforts to enhance scalable platforms for generative modeling and large - scale simulations.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
AI/ML Engineer developing machine learning systems for TymeX's digital banking platform. Collaborating across teams to enhance customer interaction and personalization through AI technology.