AI engineers

Sequoia Global Servicesvia Jobgether

RemotoUsPlenoCLTOntem

Salário Estimado

R$ 7.722,00 - R$ 11.583,00

Tecnologias

Python Go Azure Kubernetes Git Machine Learning IA PyTorch

0de 100

Excelente

Score da Vaga

Descrição da Vaga

This a Full Remote job, the offer is available from: Delaware (USA) Description 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 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ 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:

•Bachelor’s or Master’s 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 Career’s Page: https://www.sequoia-connect.com/careers/ Requirements Requirements:

•Bachelor’s or Master’s 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). • PhD or relevant research experience.

•Experience in the semiconductor industry. • Knowledge of Azure DevOps and ONNX for model interoperability.

This offer from "Sequoia Global Services" has been enriched by Jobgether.com and got a 72% flex score.

Requisitos

Bachelor’s or Master’s 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)
Languages
Advanced Oral English
Advanced Spanish
Bachelor’s or Master’s 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)
PhD or relevant research experience
Experience in the semiconductor industry
Knowledge of Azure DevOps and ONNX for model interoperability

Responsabilidades

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

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