AI engineers
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Job Location:
Mexico City - Mexico
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
At Sequoia Connect we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent connecting human potential with complex industrial execution. By joining our inner circle you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your Human OS and accelerating your growth through world-class high-impact projects.
We are currently partnering with a global IT powerhouse that represents the connected world through innovative customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally our client empowers over 1200 global customersincluding several Fortune 500 companiesto Rise. With a massive network of 163000 professionals across 90 countries they are at the absolute forefront of digital transformation leveraging next-generation technologies such as 5G AI Blockchain and Quantum Computing.
This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise this is where you belong.
We are currently searching for a AI engineers:
Responsibilities:
- Design and develop high-impact ML models to solve complex engineering problems in the semiconductor space.
- Build train and optimize deep learning models using NLP Computer Vision and Predictive Analytics.
- Implement advanced AI techniques including Agentic Frameworks LangChain and RAG (Retrieval-Augmented Generation).
- Execute data collection and preprocessing for both structured and unstructured data (numeric images videos and documents) using Python.
- Perform feature engineering to transform raw data and improve model interpretability and performance.
- Deploy and integrate models using Kubernetes Flask Ray Serve Azure DevOps or ONNX.
- Monitor and evaluate model accuracy and robustness using rigorous statistical metrics.
- Maintain comprehensive documentation of model architecture and training processes for technical and non-technical stakeholders.
- Ensure all deployments adhere to ethical standards and data privacy regulations.
Requirements:
- Bachelors or Masters degree in Computer Science Engineering Mathematics or a related field.
- 3 years of professional experience in Machine Learning or Artificial Intelligence.
- Expertise in Python and PyTorch.
- Hands-on experience with cloud or on-premises compute for deep learning.
- Proven ability to handle unstructured data preprocessing (images video text).
- Practical knowledge of Model Deployment (Kubernetes Flask or cloud-based solutions).
Desired:
- PhD or relevant research experience.
- Experience in the semiconductor industry.
- Knowledge of Azure DevOps and ONNX for model interoperability.
Languages
- Advanced Oral English.
- Advanced Spanish.
Note:
- Fully remote.
If you meet these qualifications and are pursuing new challenges start your application on our website to join an award-winning employer. Explore all our job openings Sequoia Careers Page: Requirements: Requirements:
AI Engineer Machine Learning PyTorch RAG LangChain Computer Vision NLP Kubernetes Ray Serve MLOps Semiconductor Python Deep Learning.V
