We are searching for a highly skilled AI Engineer with a strong background in Machine Learning (ML) and at least four years of handson experience in commercial environments beyond academia. The ideal candidate is passionate about AI stays updated on the latest advancements and is eager to contribute to innovative AIdriven solutions.
Location:Open to candidates located anywhere inMexico Uruguay Colombia Argentina Chile Brazil Costa Rica Puerto Rico Nicaragua Dominican Republic El Salvador Honduras ORPanama
Your Responsibilities
- Contribute to building and enhancing our Mechanized AI platform and AIenabled products including mAI Modernize
- 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 finetuning 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.
Requirements
- 4 years of ML experience at a startup or larger enterprise high priority
- 6 months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications high priority
- Client delivery experience high priority
- Effective written and oral communications skills (C1/C2 advanced/proficient level English is required) high priority
- 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 scikitlearn)
- Experience developing deploying and managing/monitoring models
- Knowledge of containerization technologies (e.g. Docker Kubernetes) and microservices architecture
- Expertise in ObjectOriented Programming (OOP) principles and unit testdriven 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 problemsolving skills with the ability to propose innovative solutions and troubleshoot issues
- Ability to work independently and as part of a collaborative team in a fastpaced environment
Experience in any of the following is preferred not required:
- Agent development
- Data privacy
- Fine tuning LLMs
- LLM architecture and techniques for performance
- MLOps
- ML evaluation
- Model decay and data drift detection and handling
- Pulumi Terraform and/or Cloud SDKs
- PySpark
- Quantization
- Retrievalaugmented generation (RAG) optimization
- Security
- Vector databases
Whats in It for You
- 20 days of PTO
- Local public holidays off
- Reimbursement for relevant certifications (e.g. AWS)
This is a great opportunity to work with an innovative company driving AI transformation. Apply now!