Offer summary

Qualifications:

Bachelor's degree in computer science, software engineering, or a related field., 4+ years of experience in Machine Learning, preferably in a start-up or enterprise environment., 6+ months of experience with Large Language Models and Generative AI applications., Proficiency in Python programming and familiarity with ML frameworks like TensorFlow and PyTorch..

Key responsabilities:

Contribute to building and enhancing AI platforms and AI-enabled products.

Serve as a Machine Learning Subject Matter Expert on client projects.

Design and implement ML systems, selecting appropriate datasets and algorithms.

Stay current with emerging technologies and ML best practices to improve methodologies.

Job description

We are seeking an experienced AI Engineer to join our client growing team.

The ideal candidate will have a background in Machine Learning (ML) with at least four years of experience outside of academia. They must be passionate about AI and stay up to date with the latest developments in the field.

Important: This position is full-time and the company is searching for candidates from LATAM

4+ years of ML experience at a start-up or larger enterprise high priority
6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications
Client delivery experience
Effective written and oral communications skills (C1/C2 advanced/proficient level English is required)
Bachelors degree in computer science, software engineering or related field
Experience with cloud environments (e.g., AWS, Azure, GCP)
Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn)
Experience developing, deploying, and managing/monitoring models
Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture
Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies
Advanced experience in NLP techniques and applications
Proficiency in Python programming
Familiarity with prompt engineering approaches and best practices
Knowledge of data structures, data modeling, and software architecture
Analytical and problem-solving skills, with the ability to propose innovative solutions and troubleshoot issues
Ability to work independently and as part of a collaborative team in a fast-paced environment

Responsibilities

Contribute to building and enhancing their AI platform and AI-enabled products including.
Serve as ML SME on client projects as needed.
Design ML systems.
Research and implement appropriate ML algorithms and tools.
Select appropriate datasets and data representation methods.
Run ML tests and experiments.
Perform statistical analysis and fine-tuning using test results.
Train and retrain systems when necessary..
Extend existing ML libraries and frameworks.
Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools.

Recruitment Process