Ingeniero Senior de Aprendizaje Automático en Torreón

Placements24; Torreón; Hybrid; MXN 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Salary bonuses

Health insurance

Professional development

Collaborative environment

Paid time off

State-of-the-art technology

Career advancement

Hybrid work model

Job summary

Placements24 in Torreón, Coahuila is seeking a Senior Machine Learning Engineer to design, implement, and optimize ML models that drive business value. You will work across teams to define AI/ML requirements and deploy models into production, with a strong emphasis on data quality and scalable pipelines.

The ideal candidate has a PhD or MS in a quantitative field, 5+ years in ML, proficiency in Python and libraries, and experience with cloud platforms and MLOps.

Qualifications

• Master's or PhD in Computer Science, Engineering, Statistics or related quantitative field.
• Minimum 5 years of professional ML engineering experience.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, data mining, and ML algorithms.
• Experience with big data technologies (Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.

Responsibilities

• Design, develop, and implement advanced ML algorithms and models.
• Collaborate with cross-functional teams to define AI/ML project requirements.
• Process, clean, and transform large datasets for model training.
• Train, evaluate, and deploy ML models into production environments.
• Monitor and maintain deployed models and optimize performance.
• Stay updated with ML/AI research and advancements.
• Develop and maintain documentation for models and processes.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Big data

Cloud platforms

MLOps

NLP/Computer vision

Education

Master's or Ph.D.

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client, a rapidly growing tech innovator, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their dynamic team in Torreón, Coahuila . This is a unique opportunity to work on cutting-edge AI projects that are shaping the future of various industries. You will be instrumental in developing, deploying, and optimizing machine learning models that drive significant business value. The role demands a strong theoretical foundation in AI and practical experience in implementing robust ML solutions. If you are passionate about leveraging data to solve complex problems and thrive in a collaborative, fast-paced environment, this position is ideal for you. Our client is committed to fostering a culture of innovation and continuous learning, providing ample opportunities for professional growth and development within the exciting field of Artificial Intelligence and Emerging Technologies.

Key Responsibilities

• Design, develop, and implement advanced machine learning algorithms and models.
• Collaborate with cross-functional teams to define AI/ML project requirements and objectives.
• Process, clean, and transform large datasets to ensure data quality and suitability for model training.
• Train, evaluate, and deploy machine learning models into production environments.
• Monitor and maintain deployed models, continuously seeking opportunities for improvement and optimization.Stay abreast of the latest research and advancements in machine learning and AI.
• Develop and maintain comprehensive documentation for models, code, and processes.
• Contribute to the technical roadmap and strategy for AI initiatives within the company.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in machine learning engineering or a similar role.
• Proficiency in Python and relevant ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn.
• Strong understanding of statistical modeling, data mining, and machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience working with large datasets and complex data pipelines.
• Knowledge of natural language processing (NLP) or computer vision is desirable.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development, including conferences and training.
• A collaborative and innovative work environment.
• Generous paid time off and holidays.
• Access to state-of-the-art technology and resources.
• Potential for career advancement within a growing organization.
• Hybrid work model offering flexibility between office and remote work.