Ingeniero de Aprendizaje Automático Avanzado

Placements24; Mérida; Presencial; EUR 20.000 - 41.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and incentives

Health, dental, and vision insurance

Professional development and training

Access to advanced computing resources

PTO and holidays

Retirement savings plan

Team events and collaboration

Descripción de la vacante

WhatJobs Direct seeks an accomplished Advanced Machine Learning Engineer to bolster its R&D capabilities in Mérida. The role focuses on developing sophisticated ML models, deploying end-to-end pipelines, and advancing AI-driven features across products.

Candidates should have a strong theoretical ML background, hands-on model development, and deployment experience, plus expertise in Python, ML libraries, and cloud/MLOps practices. A collaborative, innovative R&D environment awaits.

Formación

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related quantitative field.
• Minimum of 4 years of hands-on experience in machine learning engineering or research.
• Strong programming in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Proficiency with data manipulation tools (Pandas, NumPy).
• Solid understanding of supervised, unsupervised, and deep learning.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps.
• Excellent analytical, problem-solving, and communication skills.

Responsabilidades

• Design, develop, and deploy advanced ML models.
• Research new ML algorithms and techniques.
• Implement and optimize ML pipelines for data ingestion, training, and inference.
• Analyze large datasets to identify trends and patterns.
• Collaborate with product and engineering teams to implement ML solutions.
• Evaluate model performance and ensure reliability.
• Stay updated with ML/AI advancements.
• Document ML models and systems.

Conocimientos

Python

ML Libraries

Data Analysis

Cloud Platforms

MLOps

NLP/Computer Vision (bonus)

Educación

Master's or Ph.D. in CS/Math

Herramientas

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Descripción del empleo

About the Role

Our client, WhatJobs Direct, is seeking an accomplished Ingeniero de Aprendizaje Automático Avanzado to bolster our Investigación y Desarrollo capabilities. This critical role, situated in Mérida, Yucatán, MX , will drive the development and implementation of sophisticated machine learning models for complex data challenges. You will work on innovative projects, leveraging advanced techniques to extract insights, build predictive systems, and enhance product functionalities. The ideal candidate possesses a strong theoretical background in machine learning, extensive practical experience in model development and deployment, and a passion for continuous learning and innovation. We are looking for individuals who can translate complex data into actionable intelligence and contribute to significant technological advancements. Join our vibrant R&D team in Mérida, Yucatán, MX and make a real impact.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models.
• Conduct research into new ML algorithms and techniques.
• Implement and optimize ML pipelines for data ingestion, training, and inference.
• Analyze large and complex datasets to identify trends and patterns.
• Collaborate with product and engineering teams to define and implement ML solutions.
• Evaluate and validate model performance, ensuring accuracy and reliability.
• Stay current with the latest advancements in machine learning and artificial intelligence.
• Develop and maintain technical documentation for ML models and systems.
• Troubleshoot and resolve issues related to ML model performance and deployment.
• Mentor junior team members and share knowledge within the R&D group.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of hands-on experience in machine learning engineering or research.
• Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy).
• Solid understanding of various ML algorithms, including supervised, unsupervised, and deep learning.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal abilities.
• Ability to work effectively in a team-oriented R&D environment.
• Experience with natural language processing (NLP) or computer vision is a plus.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development, including training and conferences.
• Access to advanced computing resources and ML platforms.
• A dynamic and collaborative R&D environment in Mérida, Yucatán, MX .
• Generous paid time off and holidays.
• Company-sponsored events and team-building activities.
• Retirement savings plan.
• Employee assistance program.
• Exposure to innovative and impactful projects.