Ingeniero Senior de Aprendizaje Automático en Ciudad Juárez

Placements24; Chihuahua; Hybrid; MXN 1.200.000 - 2.000.000; Vollzeit

Benefits dieser Stelle

Health insurance

Dental insurance

Paid time off

Hybrid work schedule

Professional development opportunities

Zusammenfassung

Placements24 is seeking a Senior Machine Learning Engineer in Ciudad Juárez, Chihuahua, to design, develop, and deploy cutting-edge models addressing complex business challenges within a hybrid work environment.

You'll collaborate with data scientists, software engineers, and product managers, apply deep learning, NLP, and computer vision techniques, and mentor junior engineers while ensuring ethical data use and robust model monitoring.

Qualifikationen

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field.
• Proven track record of at least 5 years in developing and deploying production-grade machine learning models.
• Expertise in programming languages such as Python, R, and associated ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of deep learning architectures, NLP, computer vision, and reinforcement learning.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
• Familiarity with MLOps principles and tools for model deployment and lifecycle management.

Aufgaben

• Design, develop, train, and deploy machine learning models using state-of-the-art techniques.
• Conduct research on new ML algorithms and methodologies to identify opportunities for innovation.
• Collaborate with data engineers to build robust data pipelines for model training and evaluation.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Develop and implement strategies for model monitoring, maintenance, and continuous improvement.
• Communicate complex technical findings and recommendations to both technical and non-technical stakeholders.
• Contribute to the development of AI strategy and roadmap for the organization.
• Mentor junior engineers and contribute to the team's technical growth.
• Ensure ethical considerations and data privacy are integrated into all ML development processes.

Kenntnisse

Python

R

TensorFlow

PyTorch

scikit-learn

NLP

Computer Vision

Reinforcement Learning

Cloud platforms

MLOps

Ausbildung

Master's degree

PhD

Tools

Spark

Hadoop

AWS

Azure

GCP

Jobbeschreibung

About the Role

Our client, a leading innovator in artificial intelligence, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their dynamic team in Ciudad Juárez, Chihuahua . This pivotal role involves designing, developing, and deploying cutting-edge machine learning models that address complex business challenges and drive significant technological advancements. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate theoretical concepts into practical, high-impact solutions. The ideal candidate possesses a strong theoretical understanding of ML algorithms and practical experience in their application within real-world scenarios. This is an exceptional opportunity to contribute to groundbreaking AI projects and shape the future of intelligent systems in a hybrid work environment that balances collaboration with flexibility.

Key Responsibilities

• Design, develop, train, and deploy machine learning models using state-of-the-art techniques.
• Conduct research on new ML algorithms and methodologies to identify opportunities for innovation.
• Collaborate with data engineers to build robust data pipelines for model training and evaluation.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Develop and implement strategies for model monitoring, maintenance, and continuous improvement.
• Communicate complex technical findings and recommendations to both technical and non-technical stakeholders.
• Contribute to the development of AI strategy and roadmap for the organization.
• Mentor junior engineers and contribute to the team's technical growth.
• Ensure ethical considerations and data privacy are integrated into all ML development processes.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of at least 5 years in developing and deploying production-grade machine learning models.
• Expertise in programming languages such as Python, R, and associated ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of deep learning architectures, natural language processing (NLP), computer vision, and reinforcement learning.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Familiarity with MLOps principles and tools for model deployment and lifecycle management.
• Excellent problem-solving skills and analytical thinking.
• Strong communication and collaboration abilities, particularly within a hybrid work setting in Ciudad Juárez.
• Experience working with large datasets and implementing data preprocessing techniques.

Benefits

• We offer a competitive compensation package, comprehensive health and dental insurance, generous paid time off, and opportunities for professional development and continuous learning.
• Employees benefit from a flexible hybrid work schedule, access to the latest AI technologies, and the chance to work on challenging and rewarding projects in Ciudad Juárez, Chihuahua .
• Our client fosters a collaborative and innovative work culture, encouraging knowledge sharing and career advancement within the exciting field of artificial intelligence.