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 AI/ML Engineer at Handoff focusing on machine learning solutions for construction tech. Leveraging advanced techniques to solve real-world business problems and improve product offerings.
Responsibilities
- Apply traditional and modern ML techniques to build solutions that address key business challenges, such as enhancing estimate accuracy or streamlining AI agent features.
- Utilize our extensive blueprint dataset to explore and develop innovative computer vision solutions, driving unique value in our product offerings.
- Identify and implement the most effective ML tools and approaches, ensuring alignment with both immediate project goals and broader business needs.
- Establish evaluation frameworks to measure and improve the effectiveness of deployed models, iterating based on results to achieve reliable outcomes.
- Work closely with engineering, product, and other stakeholders to integrate ML solutions seamlessly into production, ensuring scalability, reliability, and user-centric design.
- Keep abreast of advancements in both computer vision and machine learning research, adopting promising methods to enhance our capabilities.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of experience in machine learning, with a proven ability to apply techniques across domains like NLP, computer vision, and predictive analytics.
- Proficiency in foundational ML tools: **Pandas**, **NumPy**, **OpenCV**, and **scikit-learn**.
- Experience with deep learning frameworks such as **TensorFlow **or **PyTorch**.
- Familiarity with working on computer vision tasks, such as image recognition, object detection, and processing large datasets like blueprints (e.g.** YOLOv8**, **Detectron**, and others).
- Hands-on experience with data engineering tools (e.g., SQL, Apache Airflow) for building pipelines.
- Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying ML solutions.
- A team player who communicates effectively with cross-functional teams to ensure alignment and success in delivering impactful solutions.
- Strong analytical skills and the ability to work effectively with proprietary datasets to unlock innovative solutions.
- Proficiency in English, both written and verbal.
Benefits
- Competitive salary in USD
- Attractive stock options
- Unlimited PTO
- Relocation Allowance
- We’ll set you up with all the equipment you need - and you can choose the laptop!
- Get ready for regular team offsites around the world. Our 2024 offsites were in Poland, Mexico and Florida.
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.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
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.
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.