Ofertas de Machine Learning Engineer Data Science en Xico

Beon.Tech

**Senior Machine Learning Engineer - Hybrid CDMX** Join an industry-leading practice management software company (health & wellness sector) and be part of a team that's transforming the way professionals manage their businesses. **What you'll do** - Build robust, scalable, and maintainable systems f

Descripción **Zemsania - Oferta de empleo: Ingeniero de Machine Learning**: **Descripción del puesto**: **Responsabilidades**: - Desarrollar pipelines de Machine Learning para diferentes aplicaciones. - Implementar estrategias de DevOps y MLOps. - Gestionar la infraestructura de computación distribu

Scribd

**About The Company**: At Scribd (pronounced "scribbed"), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slidesh

Pacifica Continental

SR Machine Learning Engineer As a Machine Learning Engineer, you will play a critical role in developing and maintaining the core systems and infrastructure that power our data science applications. This position is platform/tooling focused. You will work closely with other engineers, data scientist

**The salary range for this role is $50,000 - $120,000 per year (Gross in USD)** **About Sezzle**: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans t

Coderio

**Sobre Coderio** Coderio diseña y entrega soluciones digitales escalables para empresas globales. Con una base técnica sólida y una mentalidad orientada al producto, nuestros equipos lideran proyectos de software complejos desde la arquitectura hasta la ejecución. Valoramos la autonomía, la comunic

The Adecco Group

Key Responsibilities: Lead complex clinical analytics: Own analyses across clinical studies and related data sources.Partner with stakeholders: Proactively engage clinical, biometrics, and cross functional partners to gather requirements, align on analytic intent, refine questions, and deliver decis

Crossing Hurdles

ResponsibilitiesDevelop, train, and deploy machine learning models using TensorFlow and Scikit-Learn to solve real-world business problems.Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development.Co

At BairesDev®, we've been leading the way in technology projects for over 15 years.We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive sig

Nabla

Nabla is looking for a Data Scientist to support our team in Ciudad de México.You will automate processes, create diverse data insights, and collaborate with our data science units.Ideal candidates are passionate about technology and possess strong problem-solving skills.Enrolled in a relevant degre

Factored

Latin AmericaFully remote | Full engagement jobFounded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potenti

Fca

Work with engineering to relate customer usage to system and component design requirements. Develop Aptiv configurations and algorithms to pull vehicle data to develop engineering duty cycles. Perform data analytics to determine 5th, 50th and 95% usage. Manage customer usage request projects Work wi

Summary **The Opportunity** At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to c

Stellantis

Work with engineering to relate customer usage to system and component design requirements. Develop Aptiv configurations and algorithms to pull vehicle data to develop engineering duty cycles. Perform data analytics to determine 5th, 50th and 95% usage. Manage customer usage request projects Work wi

Rankmi

Buscamos a una persona que hoy esté trabajando como Data Scientist aplicado, ML Engineer o AI Engineer, idealmente en una empresa de producto, que ya haya construido soluciones con IA (especialmente LLMs) y las haya llevado a producción.No es un perfil académico ni de research. Es alguien hands-on,

Amazon

DescriptionAre you a data enthusiast? Does the world's most complex logistic systems inspire your curiosity? Is your passion to navigate through hundreds of systems, processes, and data sources to solve the puzzles and identify the next big opportunity? Are you a creative big thinker who is passiona

Proxify

Join to apply for the Senior Machine Learning Engineer role at ProxifyTalent has no borders.Proxify's mission is to connect top developers around the world with the opportunities they deserve.So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right

Jobs Ai

One of our clients, a global leader in the artificial intelligence industry, is seeking an AI/ML Engineer to design, develop, and deploy machine learning models to solve complex business challenges. This is a contractor position that offers the opportunity to collaborate with a talented group of pro

Bairesdev

BairesDev invites applications for a Machine Learning Engineer (Python) to design, train, and deploy machine learning models in production. This remote position offers flexible hours and a competitive compensation package. As part of a global team, you will collaborate with top-tier talent on challe

Gbg Plc

Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth f