Assignment Details
Our client is a top consulting firm and is looking for a ML expert.
The consultant will be responsible for building, optimizing and maintaining stability of the RL-based personalization engine itself (e.g. setting up Spark in Kubernetes)
More details will be provided by the client during discussions.
Skills Required
Must-haves
• Strong code development practices in Python >=3.7 with high amount of rigor and high code standards
• Experience in quality assuring data science code, e.g., by reviewing pull requests
• Strong capabilities in data management using – Relational methods/systems (SQL),
– Object storage/big data approaches (AWS S3/HDFS/Azure Data Lake),
– Distributed computing frameworks (such as Apache Spark)
• Strong capabilities in PySpark, covering data management and performance tuning, at data scale >1TB
• Experienced in Python based machine learning, at least using sci-kit learn, preferrably also Spark ML
• Experienced in code versioning and release management through git, e.g., following the gitFlow approach
• Experienced in unit testing, static code analysis/code linting, using e.g., pytest, flake8, black, isort
• Hands-on experience with a workflow orchestrator, preferrably Apache Airflow
• Basic knowledge of DevOps/cloud native approaches – minimally Docker, ideally Kubernetes, Terraform and similar
Nice to Have:
• Experience in Reinforcement Learing solutions
• Experience in using MLFlow
• Experience in real time data management, e.g. using Kafka, Spark streaming, or similar
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6 month(s)
3+ years 
On-Site
