Job description:
**💻 Ework Group**
- founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment
- we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
🔹 For our Client from banking industry we are looking for **Senior Data Engineer** 🔹
**✔️Detailed description of work task to be carried out:**
* 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 process massive amount of data (both structured and unstructured data) 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
* Help in optimizing our current MLOps practices and libraries, make applicable for wider range of use cases outside propensity models
* Cloud solution exploration for AI/ML areas
**✔️Key Competencies:**
* Proficiency in programming languages like Python & Spark
- minimum 5 years
* 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
* Responsible for overseeing databases and cloud platforms like AWS, Azure, and Google Cloud, making sure that your infrastructure remains scalable and secure as your business grows
* Proficient in SQL (Spark/Hive SQL), previous experience in creating data flows
* Experience with BitBucket and GIT, code versioning and branching strategy
* Familiar with Agile/Safe framework
* Cloud AWS Experience will be a big plus
**✔️Nice-to-have knowledge and experience:**
* Design and implementation ML Models (e.g. Propensity, Customer Lifetime Value, Micro-segmentation, channel recommendation models), helping use case team(s) in training and deployments
**✔️ We offer:**
* B2B agreement
* Transparent working conditions with both Ework and the client
* Current support during our cooperation
* Possibility to work in an international environment
* Collaborative environment in Swedish organizational culture
* Private medical care
* Life insurance
* Multisport
* Teambuilding events
Contact person: karolina.rosikiewicz@eworkgroup.com
Client code: BN01
Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com
Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsibility