Ingeniero de Machine Learning en Mérida

Placements24; Mérida; Hybrid; MXN 480,000 - 700,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Professional development opportunities

Hybrid working model in Mérida

Job summary

Placements24 is hiring a Machine Learning Engineer in Mérida, Yucatán. You will develop and deploy ML models, perform data preprocessing, and collaborate across product teams to deliver AI-powered features.

A hybrid in-office/remote setup supports collaboration with data scientists and engineers. The ideal candidate has 2+ years in ML engineering, strong Python skills, and hands-on experience with TensorFlow, PyTorch, or scikit-learn, plus cloud familiarity.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, Data Science, or related field.
• 2+ years of professional experience in machine learning engineering or related role.
• Strong Python programming and experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of core ML algorithms and concepts.
• Experience with data manipulation tools (Pandas, NumPy).
• Familiarity with cloud platforms (AWS, Azure, GCP) and Docker.

Responsibilities

• Develop, train, and deploy ML models using Python and libraries like TensorFlow, PyTorch, or scikit-learn.
• Implement data preprocessing, feature engineering, and model evaluation techniques.
• Optimize ML models for performance and scalability in production.
• Collaborate with software engineers to integrate ML models into applications.
• Design experiments to validate model performance.
• Stay updated on ML/AI advancements and best practices.
• Contribute to ML pipelines and infrastructure architecture.
• Troubleshoot ML model performance and deployment issues.
• Document models, processes, and results clearly.
• Participate in code reviews and knowledge-sharing sessions.

Skills

Python programming

TensorFlow

PyTorch

scikit-learn

Data manipulation

Cloud platforms

Problem solving

Effective communication

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Docker

Pandas

NumPy

Job description

About the Role

Our client, a rapidly growing technology firm, is seeking an innovative Machine Learning Engineer to join their team in Mérida, Yucatán . This role is integral to developing and deploying advanced machine learning models that power our client's cutting-edge products and services. You will work on challenging problems, from data preprocessing and feature engineering to model training, evaluation, and deployment in production environments. This is a hybrid role, offering a blend of in-office collaboration in Mérida and remote flexibility. You'll collaborate closely with data scientists, software engineers, and product managers to bring AI-driven solutions to life. The ideal candidate is passionate about AI, possesses strong coding skills, and has practical experience in building and deploying ML systems.

Key Responsibilities

• Develop, train, and deploy machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Implement data preprocessing, feature engineering, and model evaluation techniques.
• Optimize ML models for performance, scalability, and efficiency in production.
• Collaborate with software engineers to integrate ML models into existing applications and platforms.
• Design and conduct experiments to test and validate model performance.
• Stay updated on the latest advancements in machine learning and artificial intelligence research.
• Contribute to the design and architecture of ML pipelines and infrastructure.
• Troubleshoot and resolve issues related to ML model performance and deployment.
• Document ML models, processes, and results clearly and concisely.
• Participate in code reviews and knowledge-sharing sessions within the team.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 2+ years of professional experience in machine learning engineering or a related role.
• Strong programming skills in Python and experience with ML libraries like TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of core machine learning algorithms and concepts.
• Experience with data manipulation and analysis tools (e.g., pandas, NumPy).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker).
• Experience with data versioning and experiment tracking tools is a plus.
• Excellent problem-solving abilities and a proactive approach to challenges.
• Good communication skills, with the ability to explain technical concepts effectively in Mérida's collaborative environment.
• Experience in a hybrid work setting is beneficial.

Benefits

Our client provides a competitive salary, comprehensive benefits package including health insurance, paid time off, and opportunities for professional development. This hybrid role in Mérida, Yucatán allows for a balanced work-life integration, access to exciting AI projects, and a chance to grow within a supportive and innovative tech company. Join us in shaping the future of AI from the heart of the Yucatán peninsula.