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Tata Consultancy Services Linkedin · Posted 24d ago

Machine Learning Engineer

Querétaro

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Indexed description

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.


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]

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