Senior MLOps Engineer – Digital Transformation (Mexico Only)

Truelogic·Remote(Mexico)

Data & Analytics

WFA Digital Insight

As demand for artificial intelligence and machine learning expertise continues to soar, with over 60% of companies adopting AI in 2025, the need for skilled MLOps Engineers has never been more pressing. Truelogic stands out in the Latin American tech scene with its commitment to digital transformation and its team of over 600 professionals. To succeed in this role, candidates need advanced Python skills, extensive experience in production environments, and the ability to thrive in a remote setting. With the remote job market offering unparalleled flexibility, this position is ideal for those seeking autonomy and a highly competitive USD salary.

Job Description

About the Role

The Senior MLOps Engineer position at Truelogic is a pivotal role in the company's digital transformation journey, focusing on the development, deployment, and optimization of machine learning infrastructure. This engineer will be part of a dynamic team of over 600 tech professionals across Latin America, working closely with data scientists, product managers, and other engineers to ensure the seamless integration of machine learning models into production environments. The role's success is crucial for enhancing the company's predictive capabilities and driving business growth through data-driven insights.

Given the rapidly evolving landscape of machine learning and its applications, this role offers the opportunity to work at the forefront of technological innovation, collaborating with a team that values autonomy, innovation, and continuous learning. The ideal candidate will be passionate about machine learning, have a keen eye for detail, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders.

The Senior MLOps Engineer will be working in a 100% remote setup, which requires strong self-motivation, discipline, and excellent time management skills. This setup also provides the flexibility to work from anywhere in Mexico, offering a unique opportunity for work-life balance.

What You Will Do

Design, develop, and deploy scalable machine learning models and systems.
Collaborate with data scientists to integrate models into the production environment.
Work on optimizing the performance of machine learning models.
Develop and maintain technical documentation for machine learning infrastructure.
Ensure the security, compliance, and integrity of machine learning systems.
Participate in code reviews and contribute to the improvement of the engineering team's skills.
Develop scripts and tools to automate the deployment process of machine learning models.
Monitor and troubleshoot issues in the production environment.
Stay updated with the latest advancements in machine learning and MLOps.

What We Are Looking For

Extensive experience as an MLOps Engineer or Machine Learning Engineer in production environments.
Advanced proficiency in Python, including popular libraries such as TensorFlow, PyTorch, or Scikit-learn.
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Strong knowledge of containerization using Docker.
Familiarity with Kubernetes for orchestration.
Experience with version control systems like Git.
Strong understanding of software development principles and design patterns.
Excellent communication and teamwork skills.
Ability to work independently in a remote setting.

Nice to Have

Experience with DevOps practices and tools such as Jenkins, Jenkinsfile, or GitLab CI/CD.
Knowledge of agile development methodologies.
Certification in machine learning or a related field.
Experience with database management systems and data warehousing solutions.
Familiarity with security and compliance frameworks relevant to machine learning deployments.

Benefits and Perks

100% Remote Work: Enjoy the flexibility to work from anywhere in Mexico.
Highly Competitive USD Pay: Receive a salary that reflects your skills and experience.
Paid Time Off: Recharge and relax with paid vacation days.
Work with Autonomy: Truelogic values innovation and gives you the space to take Ownership of your projects.
Opportunity for Professional Growth: Develop your skills and advance in your career with a dynamic team.
Access to Cutting-Edge Technologies: Stay at the forefront of technological innovation in machine learning and MLOps.

How to Stand Out

Tailor Your Resume: Highlight your experience with machine learning technologies and MLOps practices, ensuring your resume showcases your expertise in Python and cloud platforms.
Prepare for Technical Interviews: Brush up on your knowledge of machine learning algorithms, model deployment, and optimization techniques. Be ready to discuss your experience with containerization, orchestration, and version control.
Build a Portfolio: Create a portfolio that demonstrates your ability to design, develop, and deploy machine learning models. Include examples of your work, such as GitHub repositories or articles on machine learning.
Showcase Your Problem-Solving Skills: During interviews, be prepared to solve technical problems or discuss how you would approach a challenging issue in a production environment.
Discuss Your Experience with Remote Work: If you have experience working remotely, highlight your ability to work independently, manage your time effectively, and maintain communication with a distributed team.
Inquire About Career Development: Ask about opportunities for professional growth and how Truelogic supports the continuous learning and development of its engineers.
Negotiate Your Salary: Given the competitive nature of the role and the market, prepare to negotiate your salary based on your experience and qualifications. Research the market standard for similar positions to make a strong case for your desired compensation.

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