Ofertas de Deep Learning Engineer en Xico

**Estamos en búsqueda de tu talento como Machine Learning Engineer****Esquema de trabajo Híbrido****Requisitos**:Formación- Estudios: Ingeniería en computación, licenciatura en informática, matemáticas o afines. - Desarrollar y mantener pipelines de ML altamente automatizados para entrenamiento, val

Lingaro

Tasks: Design, deliver and scale GenAI solutions. Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency. Working with Data Science teams to implement AI Agents and Machine Learning models into production. Design, delivery and management of industrialized processi

Intelliswift - An Ltts Company

Must Have: Python-based ML development (production ML pipelines & models) ML frameworks: Scikit-learn, XGBoost/LightGBM/CatBoost, and PyTorch or TensorFlow Feature engineering & feature pipelines (large-scale, automated where applicable) Big data processing: Apache Spark / PySpark, Databricks, Delta

Redleo Software Inc.

100% Remote- anywhere from Mexico Machine Learning Engineer Mexico / Remote role Immediaite interview! Machine Learning Engineer at Data Science & Analytics Must have: • 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products,

Georgiatek Systems Inc.

Position: ML Engineer Location: Mexico/ Remote Job Summary: We are seeking a Machine Learning Engineer to develop and operationalize scalable ML models and feature engineering pipelines within ecosystem. This role focuses on production-grade ML systems, MLOps, and continuous model optimization. Key

Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - At least 5 years of experience in designing, building, and/or operating large scale enterprise IT systems in a production environment - At least 3 years of public cloud comput

Job Summary for Machine Learning Engineer (Data Science and Analytics):This role you will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product including data ingestion, ML processing, and results delivery/activat

Intelliswift - An Ltts Company

Must Have:Python-based ML development (production ML pipelines & models) ML frameworks: Scikit-learn, XGBoost/LightGBM/CatBoost, and PyTorch or TensorFlow Feature engineering & feature pipelines (large-scale, automated where applicable) Big data processing: Apache Spark / PySpark, Databricks, Delta

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

**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

**Minimum qualifications**: - Bachelor's degree or equivalent practical experience. - 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). - 1 year of experience with data structures or algorithms. **Preferred qualifications**:

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

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

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

Google

**Minimum qualifications**: - Bachelor's degree or equivalent practical experience. - 1 year of experience with data structures or algorithms. - 1 year of experience with full stack development, across back-end such as Java, Python codebases, and front-end experience including JavaScript or TypeScri

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

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

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