Machine Learning Engineer (Santiago de Querétaro)

Tata Consultancy Services is an equal opportunity employer; our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio‑economic background, race, color, national origin, religion, sex, gender identity/expression, age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.

Qualifications

• Advanced knowledge of English
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 3 years of experience in addressing practical machine learning challenges, particularly with Azure and Python.

Experience

• At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
• A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.
• A minimum of 2 years of experience with cloud technologies (Azure is preferred), including services, networking, and security principles.
• Proficient Python/JavaScript programming skills.
• Familiarity with Spark, Airflow, PyTorch, Scikit‑learn, Pandas, Keras, and other relevant ML libraries.
• Knowledge of APIs, microservices, and CI/CD.

Key Responsibilities

• Design, develop, and deploy scalable solutions.
• Collaborate with cross‑functional teams.
• Ensure code quality, testing, and performance.
• Support production issues and continuous improvement.

Work modality: Hybrid

Candidate needs to be located or relocate to Querétaro, CDMX, Guadalajara or Monterrey, and will be requested to attend office at least 3 days per week.