AI Engineer
AI Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
PLEASE READ THOROUGHLY TO AVOID REJECTION.Eligibility:
- Location: Open to candidates from LATIN AMERICAN countries (e.g. Mexico Uruguay Colombia Peru Argentina Chile Brazil Costa Rica Puerto Rico Nicaragua Dominican Republic El Salvador Honduras Panama).
- Fulltime remote position.
- 4 years of applied Machine Learning (ML) experience in a commercial setting.
- 6 months of experience with Large Language Models (LLMs) and Generative AI (GenAI).
- Proficient in English (C1/C2 level).
Requirements:
- Bachelors degree in Computer Science Software Engineering or a related field.
- Proficiency in Python programming and advanced experience in NLP techniques and applications.
- Expertise in ML frameworks and libraries (e.g. TensorFlow PyTorch Keras scikitlearn).
- Strong background in ObjectOriented Programming (OOP) principles and unit testdriven development.
- Experience with cloud environments (AWS Azure GCP) and containerization technologies (Docker Kubernetes).
- Familiarity with prompt engineering and LLM optimization techniques.
- Experience in developing deploying and monitoring ML models.
- Strong analytical and problemsolving skills with the ability to propose innovative solutions.
- Bonus: Experience in areas such as agent development finetuning LLMs MLOps or vector databases.
Role Overview:
As an AI Engineer you will work on cuttingedge AI solutions enhancing AIenabled products and contributing to advanced ML systems. You will serve as a subject matter expert (SME) on client projects and drive the design and implementation of innovative AI systems.Key
Responsibilities:
- Build and enhance AIenabled products.
- Serve as an ML SME on client projects.
- Design and implement ML systems including selecting datasets and algorithms.
- Conduct ML tests experiments and finetuning using test results.
- Train retrain and deploy models while ensuring effective monitoring and performance.
- Stay uptodate with emerging technologies and ML best practices to improve methodologies.
Compensation & Benefits:
- Annual Salary: $48000$60000 (confidential).
- 20 days of PTO and local public holidays off.
- Reimbursement for relevant certifications (e.g. AWS).
Employment Type
Full Time
