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
- Machine Learning Engineer focused on scaling and optimizing AI pipelines for BHOUT's fitness technology. Collaborating with ML engineers to ensure robust deployment and real-time feedback.
Responsibilities
- Design and maintain end-to-end ML pipelines for data ingestion, model training, validation, and deployment.
- Build CI/CD workflows for model deployment.
- Implement model versioning, tracking, and experiment management using tools such as MLflow or Weights & Biases.
- Collaborate in ML, CV, and NLP projects to streamline the transition from research to production.
- Establish best practices for reproducibility, security, and management of ML systems.
- Integrate edge AI frameworks (TFLite, ONNX Runtime) to deploy models directly on BHOUT’s devices.
- Support continuous learning pipelines, enabling models to adapt with new data from live training sessions.
Requirements
- 5+ years of experience in Machine Learning Infrastructure, MLOps, or Applied ML Engineering.
- Proven experience building automated ML pipelines for training and deployment.
- Strong proficiency in Python and experience with frameworks such as PyTorch, TensorFlow.
- Hands-on knowledge of MLflow, Weights & Biases, Jenkins, or Docker for model management and orchestration.
- Familiarity with cloud platforms (e.g., AWS, Azure).
- Experience with edge AI optimization (quantization, pruning, model distillation).
- Solid understanding of DevOps principles and CI/CD for ML systems.
- Familiarity with Android development (Kotlin/Java) and NDK for native integrations.
- Strong debugging, automation, and scripting skills.
- Excellent collaboration and communication skills with AI teams.
Benefits
- Play BHOUT: Enjoy free BHOUT Club membership.
- Competitive Compensation: Competitive salary and performance-based bonuses.
- Extra Time Off: Enjoy 25 vacation days per year, plus 3 additional days off on your birthday, Christmas Eve, and New Year’s Eve.
- Work-Life Balance: Work on your terms with BHOUT's flexible hours and hybrid/remote work options!
- Entrepreneurial Environment: Dynamic atmosphere where every voice is heard, and every idea has the potential to make a significant impact.
- Team Get-Togethers: Regular team events and off-sites to foster collaboration and camaraderie!
Job title
Job type
Experience level
Salary
Not specified
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.