Position: Machine Learning Engineer
Category: Python
English level: fluent
Years of experience: 5

PhD in Math Imperial College London, UK. 
Specialist in Computer Science.
Great experience working in Europe
Proven Machine Learning Software Engineer with 5+ years of experience (banking, telecom, pricing) in delivering production-grade (serverless) automated python ML pipelines, refactoring code for production, splitting monoliths, data extraction.
I collaborate with data scientists, product managers and backend engineers, R&D teams in both big corps & startups. 
I am looking for projects with sensible business models in product startups involving data science, machine learning and data extraction, ETL orchestration.

Proficient in Python, SQL, Spark, Kubernetes, Airflow, Google Cloud,  AWS and strong background in both classic and deep learning algorithms.
I have a PhD in Machine Learning from Imperial College London and a Specialist degree in Computer Science,

I am currently working on cutting-edge projects utilising  Python(TensorFlow, LightGBM, HyperOpt) in a Kubernetes environment, and building robust ETL processes using  Scala code in Airflow, Kubeflow, VertexAI.
I am expecting to build, deploy and maintain ML models and supporting applications, gather requirements from data scientists so that I can design and implement the necessary software infrastructure to deploy and maintain the resulting ML models in production. In short, I can handle and be responsible for all aspects of machine learning project, from data collection  and preparation to model development, deployment and ongoing monitoring and maintenance