Azure Machine Learning Engineer
Netrix Global
AzureCloudPythonPyTorchTensorflowTerraform
Machine Learning Engineer
Silver.dev
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇦🇷 Argentina
Visit company websiteSalary
💰 $80,000 - $120,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Design and own comprehensive evaluations that measure accuracy, completeness, style, hallucination rate, bias, and safety across every release.
- Tune and iterate on RAG pipelines, prompt chains, conversation loops, provider selections, and fine-tunes until quality bars are met or exceeded.
- Build reusable data and evaluation pipelines, a shared semantic layer, and monitoring dashboards that make it easy for product teams to ship reliable AI quickly.
- Optimize for cost and latency, continuously benchmarking models and negotiating trade-offs between performance and spend.
- Implement robust data governance and lineage practices that satisfy enterprise compliance requirements and support our AI bias audit process.
- Document best practices and share knowledge to raise the bar for AI development across BrightHire.
Requirements
- 5+ years in Data Science or ML engineering with a strong focus on ML or NLP systems.
- 1+ year focused on Gen-AI or LLM systems.
- Strong Python and SQL skills.
- Experience creating automated evaluation suites for LLM outputs (accuracy, safety, bias, tone, style) and using results to guide iterative improvements.
- Knowledge of prompt engineering, RAG techniques, vector search, embeddings, fine-tuning, and model selection across multiple providers.
- Ability to communicate complex AI trade-offs clearly to engineers, designers, and executives alike
- Bias toward action, curiosity, and a passion for building high-quality user experiences
Benefits
- 15 days PTO
- 12 national holidays
- Healthcare stipend
- Work-from-home, learning, and vacation stipends
- Company provided computer
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLML systemsNLP systemsGen-AILLM systemsautomated evaluation suitesprompt engineeringRAG techniquesfine-tuning
Soft skills
communicationcuriositybias toward actioncollaborationknowledge sharing
