Machine Learning & AI Developer
Core
Design, develop, deploy, and maintain end-to-end machine learning and AI solutions in production environments to solve business challenges.
Role type
Senior Machine Learning & AI Engineer (MLOps)
Builds
Scalable batch and real-time AI/ML pipelines, production-ready AI solutions, and CI/CD workflows for ML.
Domain
Enterprise AI, Generative AI, Large Language Models (LLMs), and Cloud Data Platforms.
Deliverable
production ML models
Required skills
Python, SQL, Spark/PySpark, MLOps, CI/CD for ML, Generative AI, LLMs, RAG architectures, vector databases, semantic search, Azure AI/ML platform integration, model monitoring and drift detection.
Preferred skills
Azure, Machine Learning, AI, or Databricks certifications.
Technologies
Python, SQL, Spark, PySpark, MLflow, Kubeflow, Azure AI, Azure Machine Learning, vector databases.
Responsibilities
Design and deploy end-to-end ML solutions; build and maintain scalable AI pipelines; develop, train, and optimize models; implement MLOps practices (deployment, monitoring, versioning, retraining); manage CI/CD pipelines for ML workflows; monitor model performance and drift; contribute to AI governance and security; research emerging AI technologies.
Seniority
Senior, hands-on IC
