Applied Machine Learning Engineer
Core
Design, evolve, and test machine learning-based applications, focusing on building, deploying, and monitoring scalable ML pipelines for enterprise systems.
Role type
Applied Machine Learning Engineer
Builds
Enterprise-grade ML pipelines, AI agents, and automation scripts for specific customer use cases
Domain
Energy services, enterprise software, cloud infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, TensorFlow, PyTorch, Pandas, scikit-learn, Numpy, SQL, ETL, Docker, Kubernetes, GIT, Azure DevOps, LLMs, AI agents
Preferred skills
PhD in CS/Math/Engineering, numerical methods, stochastic process modeling, Bayesian statistics, Monte Carlo analysis
Technologies
Azure, TensorFlow, PyTorch, Docker, Kubernetes, GIT, Azure DevOps
Responsibilities
Implement ML models and algorithms, develop code and unit tests, analyze business requirements into technical designs, run data science experiments, support sales demos and client troubleshooting, automate CI/CD processes, deploy and monitor ML pipelines to cloud, conduct code reviews, document work, present results to stakeholders
Seniority
Mid-level, hands-on IC