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AI Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Mexico

Offer summary

Qualifications:

4+ years of experience in Data Science and Machine Learning, Proficiency in Python and software development tools, Experience with generative AI and LLM frameworks, Strong foundation in machine learning and NLP, Bachelor’s or Master’s degree in relevant field.

Key responsabilities:

Develop and implement AI models and pipelines
Design and manage AI pipelines with Docker and Kubernetes
Collaborate with teams to solve complex AI challenges

Sequoia Global Services Information Technology & Services Startup https://www.sequoia-connect.com/

11 - 50 Employees

See more Sequoia Global Services offers

Job description

Description

Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.

They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights.

We are currently searching for an AI Engineer:

Responsibilities:

Develop and implement AI models and pipelines, integrating with business systems for enhanced functionality and user experience.
Design and manage AI pipelines using tools such as Docker, Kubernetes, and Git.
Collaborate with cross-functional teams to innovate and solve complex challenges in AI and machine learning.

Requirements:

4+ years of experience in Data Science and Machine Learning.
Proficiency in Python and familiarity with software development tools such as Git and Docker.
Experience with generative AI Agents and LLM frameworks, including prompt engineering (e.g., AutoGen, CrewAI, LangChain, LlamaIndex).
Strong foundation in machine learning, deep learning, and NLP.
Experience with cloud platforms, preferably Azure.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Desired:

Familiarity with DevOps and MLOps practices, including CI/CD for AI model deployment and monitoring.
Strong communication and interpersonal skills, enabling effective collaboration with diverse stakeholders.

Languages

Advanced Oral English.
Native Spanish.

Note:

Fully remote

If you meet these qualifications and are pursuing new challenges, Start your application to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/.