Senior Data/ML Engineer @ Ework Group

2 tygodni temu


Gdynia, Polska Ework Group Pełny etat

Senior Data/ML Engineer @ Ework GroupGdynia, Pomeranian Voivodeship, Polska Responsibilities include: Managed the lifecycle of machine learning models from development to deployment and monitoring, ensuring optimal performance and reliability. Implemented MLOps principles, including continuous integration, continuous delivery, testing, and monitoring, to streamline machine learning operations. Working with Spark & Python to define and maintain data ingestions and transformation, handling both real‑time and batch data processing. Building distributed and highly parallelized big data processing pipeline which processes massive amount of data (both structured and unstructured) in near real‑time. Leverage Spark to enrich and transform corporate data to enable searching, data visualization, and advanced analytics. Collaborated with cross‑functional teams, including data scientists, DevOps engineers, and IT, to deliver high‑quality machine learning solutions. Working closely with analysts and business stakeholders to develop analytics models and help optimize our current MLOps practices and libraries, making them applicable for a wider range of use cases outside propensity models. Cloud solution exploration for AI/ML areas. Qualifications: Proficiency in programming languages like Python & Spark – minimum 5 years. Hands‑on experience with AWS services for machine learning and data processing (S3, Glue, SageMaker, Lambda, and StepFunctions/Airflow/MWAA), covering data ingestion, model training, batch inference and automation pipelines. Practical understanding of AWS infrastructure setup and automation using AWS CLI, boto3 and IAM roles, ensuring reproducible and secure ML workflows. Understanding of algorithms and data structures, knowledge of statistics and linear algebra. Experience with machine learning frameworks (TensorFlow or PyTorch), including training new ML models, refining existing ones, and deploying these models into user‑friendly applications. Solid understanding of distributed systems with experience in Hadoop/Hive ecosystem and/or other Big Data Technologies. Proficient in SQL (Spark/Hive SQL) and previous experience creating data flows. Experience with BitBucket and GIT, code versioning and branching strategy. Familiar with Agile/Safe framework. Requirements: Spark, Python, AWS, SQL, PyTorch, ML. Nice‑to‑have knowledge and experience: Design and implementation of ML Models (e.g., Propensity, Customer Lifetime Value, Micro‑segmentation, channel recommendation models), helping use case team(s) in training and deployments. #J-18808-Ljbffr



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