13 ago
|
Tata Consultancy Services
|
México
13 ago
Tata Consultancy Services
México
We´re looking your Talent as "Machine Learning Engineer" 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, it will be requested to attend office at least 3 day per week). If you are interested, send us your resume to
[email protected] 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.
📌 Machine Learning Engineer (México)
🏢 Tata Consultancy Services
📍 México