Plataform Engineer Lead

Skills: 

• Most important technologies are in iitalics Cloud Platforms: Azure
• Programming Languages: Python (most important), Java, C#, .NEt
• Data Storage/Processing: Apache Spark, Data Lakes, Data Warehouses, Databricks (most important), SQL, NoSQL
• CI/CD Tools: Azure DevOps
• Containerization: Docker/Kubernetes/Helm/Istio
• Version Control: proficiency with git
  
• Scripting: Powershell & Bash
• ML/GenAI Frameworks: TensorFlow, PyTorch, Scikit-learn, SciPy, NumPy, Pandas, Hugging Face Transformers, LangChain, OpenAI, GPT, BERT - other LLMs

Description Role: 

ML Ops Engineer: Client is building a next-generation data platform on top of DataBricks to enable ML and AI workloads against high volumes of manufacturing test and verification data. This platform will be used to uniformly work with disparate sources of data to gain insights that are critical to their manufacturing processes. Team member will work with Enterprise Architecture group on implementing and improving technologies with a focus on machine learning operations and cloud platforms