Senior AI/ML Engineer (Remote, LATAM)
Remote - LATAM
|Contract
Our client, an international technology consultancy, is looking for a Senior AI/ML Engineer to join its international AI/ML team. The company builds custom software from scratch for clients worldwide, alongside specialist technical consultancy and training, and its work spans artificial intelligence through to blockchain.
This is a hands-on senior engineering role that lets you own AI work end-to-end: training models, deploying them, and putting them into production. You'll tackle the particular challenges of AI-powered software alongside a team of strong engineers, on projects that use current tooling and push boundaries. This is an individual contributor position with no direct reports.
It's a six-month contract with potential for renewal. The engagement is fully remote, and the successful candidate can be located anywhere in Latin America. You'll need strong English communication skills (B2+ or higher) for this role.
Responsibilities:
- Participate in designing and developing AI solutions for challenging projects.
- Build production-level ML/AI solutions grounded in solid software engineering and ML/AI principles.
- Handle MLOps: automated deployment and monitoring of both models and infrastructure.
- Carry out data analysis, including data cleaning and variable transformation.
- Develop and train ML/AI models.
- Put AI models into production: parallelize, optimize, tune, and test them for deployment in a production environment.
- 8+ years of software development experience, including 5+ years in an AI, Machine Learning, or Data Science role.
- Cloud platform experience: Azure or another cloud-based solution.
- Strong Python skills.
- A working understanding of SQL.
- Hands-on experience across the end-to-end ML lifecycle, from development to production deployment, including designing and building scalable ML pipelines.
- Experience with ML frameworks (TensorFlow, PyTorch).
- Experience with MLOps tooling.
- Experience using AI coding tools (GitHub Copilot or comparable) in real development workflows.
- Some background in NLP.
- Some background in Computer Vision.
- Big Data tools and cloud platforms, especially Azure.
- RESTful API development and DevOps practices (Docker, CI/CD).
- Recommendation systems, unsupervised learning, and ranking models.
- TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing.
- Strong object-oriented programming skills.
- Completed background checks will be required before the start date if you are selected as a winning candidate.
- As a winning candidate, you will be required to disclose your engagement with DevEngine as a primary client on your professional LinkedIn profile.
While we strive to respond to all applicants, please understand that due to the high volume of applications we receive, providing individual feedback or responses to every candidate may not be feasible. Rest assured, we will carefully review and consider your application. We appreciate your understanding and interest in joining our team.