Machine Learning Engineer

• *About the Role**

We are seeking a

• *Senior Machine Learning Engineer / Data Science Lead**

to join our Mexico Delivery Center. This role is responsible for designing, optimizing, and deploying machine learning systems that directly impact customer experience and business outcomes.

This is a

• *hands-on leadership role**

, combining deep applied ML expertise with strong engineering, data, and cloud capabilities. You will lead initiatives end-to-end — from problem definition to production deployment — ensuring scalable, reliable, and high-performing ML solutions.

• *Key Responsibilities
• Lead end-to-end machine learning initiatives from
• *problem framing to production deployment
• Design, build, and optimize
• *machine learning models and pipelines
• Improve existing ML systems to increase
• *accuracy, reliability, and user trust
• Develop and deploy
• *production-grade ML services (APIs / microservices)
• Design and implement
• *data pipelines, feature stores, and ETL workflows
• Partner with product, engineering, and business teams to translate needs into
• *ML-driven solutions
• Establish
• *model validation frameworks

(quantitative and qualitative)

• Own
• *ML infrastructure**

including training, inference, monitoring, scalability, and security

• Ensure best practices in
• *model lifecycle management and deployment
• Provide
• *technical leadership and mentorship

across ML and data teams

• Communicate complex technical concepts to
• *non-technical stakeholders
• *Required Experience
• 8+ years of experience

in Machine Learning, Data Science, or Data Engineering roles

• Strong applied experience with machine learning models such as:
• Random Forest, Decision Trees, Regression, NLP, Neural Networks
• Advanced proficiency in
• *Python**

(ML, data pipelines, backend services)

• Proven experience deploying
• *ML models into production**

as scalable systems

• Strong experience building
• *APIs / microservices for ML inference
• Strong
• *SQL skills

across multiple database technologies

• Experience building and maintaining
• *data pipelines and data warehouses
• Solid understanding of
• *statistics, mathematics, and model evaluation techniques
• Experience working in
• *cloud environments
• Strong communication and stakeholder management skills
• Advanced English proficiency
• Preferred Qualifications
• Experience with
• *AWS services

(SageMaker, Glue, S3, Athena, IAM)

• Experience with
• *PySpark**

and large-scale data processing

• Experience building
• *customer-facing ML systems
• Experience
• *modernizing or replacing legacy ML models
• Experience working in
• *agile environments**