Top Machine Learning Jobs in Ecatepec

In this role, you will develop AI/ML strategies to enhance customer support, lead the development of natural language processing systems, and collaborate with other teams to integrate ML capabilities into Canva's product offerings.

As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.

The Sr. Manager will lead R&D teams to develop driver behavior detection algorithms from smartphone sensor data for Arity. Responsibilities include setting a vision for machine learning applications, aligning with product and engineering teams, and managing diverse data science teams while ensuring successful model deployment and strategic development.

As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.

As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.

As a Staff Software Engineer, you will play a key role in shaping Tinder's personalized matchmaking through designing and scaling recommendation systems. Collaborate with the ML team to enhance user experiences and improve business outcomes by optimizing recommendation algorithms.

As an Applied AI/ML Lead, you will spearhead large AI/ML initiatives, collaborate with various teams to develop and implement machine learning models, especially for NLP and generative AI applications. You will manage the end-to-end machine learning pipeline and ensure the alignment of technical solutions with business needs, requiring strong communication and leadership skills.

The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Machine Learning Infra Engineer will bridge the gap between data science and production systems by optimizing models for runtime performance, designing scalable MLOps pipelines, and implementing monitoring frameworks. They will work closely with data scientists to improve workflows and ensure reliability across the system, while also developing data versioning and deployment strategies.

As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and develop scalable MLOps pipelines, oversee monorepo management, implement monitoring frameworks, drive platform improvements, enhance engineering standards, and establish processes for data lineage and model management.

The Senior Machine Learning Engineer will develop innovative pricing algorithms, navigate complex datasets, and lead models from conception to production while collaborating with cross-functional teams in a fast-paced environment.

As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, focusing on building infrastructure and ensuring model performance and reliability. This role involves collaborating with cross-functional teams and mentoring junior engineers.

As a Staff Data Engineer, you will lead the design, development, and maintenance of data infrastructure and pipelines, ensuring efficient access to data for business intelligence and analytical needs. You will mentor junior engineers while overseeing data integration projects and driving the technical vision of the department, ensuring alignment with Zoro's strategic goals.

The Sr. Data Scientist at Empower is responsible for the entire model development process, including creating and enhancing credit risk models, partnering with various teams to implement solutions, and driving business growth through data-driven insights.

The Principal Data Scientist will develop innovative machine learning models and build a data-driven culture that enhances customer financial inclusion. Responsibilities include feature engineering, collaborating with teams to adopt models, and establishing data science standards. The role entails solving high-impact challenges related to marketing, product development, and user experience personalization while monitoring and updating production models.

The Senior Machine Learning Engineer will design and implement machine learning applications, collaborate with cross-functional teams, optimize data pipelines, and ensure high availability of ML systems. Responsibilities include building ML models, automating tests and deployments, and monitoring production models while following best practices in AI.