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AI Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Manuel López Cotilla 856, Col del Valle Centro, Benito Juárez, 03100 Ciudad de México, CDMX, Mexico
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Description

ML Ops Engineer **Conversational English required** **Hybrid work arrangement (2 days remote - 3 days onsite)** **Position based in CDMX, Guadalajara, Monterrey, or Querétaro** The current opportunity is to hire **ML Ops Engineers** with experience in advanced Python, model engineering using **PyTorch**, **TensorFlow**, **Vertex AI**, **TFX**, **Flask**, **TorchServing**, and **Kubeflow**. You must have solid hands-on experience in hypothesis formulation, machine learning model training, model deployment, real-time model inference, and batch prediction. **Required Tech Stack:** * **Python** * **Model engineering with PyTorch, TensorFlow, TFX, Flask, TorchServing** **Requirements:** * Meet with the client’s team to understand requirements and opportunities. * Provide timely status updates to management and use appropriate tools and/or develop custom solutions as needed to achieve objectives. * Identify process improvement opportunities. * Maintain effective communication within the team and across multiple teams (internal and external). * Strong analytical ability. * Excellent oral and written communication skills (mandatory). **We offer:** * Office working hours * 100% payroll employment * Salary open to negotiation based on experience * Statutory benefits * Enhanced benefits (family health insurance, life insurance up to 1 million MXN, grocery vouchers, 30-day Christmas bonus, profit-sharing)

Source:  indeed View original post
Juan García
Indeed · HR

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