Staff Data Engineer

Job title:

Staff Data Engineer

Company:

Experis

Job description

Responsibilities:

• Implement the set of services needed to release AI and data science models capable of working with terabytes of data; this includes model related features like one time and ongoing automatic model training, deploying, and monitoring models, as well as platform related features such as model repository, feature stores, data access layer
• Provide technical leadership for efforts around tooling and infrastructure that enable teams to efficiently complete and maintain data science projects
• Work and partner with product delivery teams to fully implement the proof of concept and products
• Collaborate with research scientists, product owners and architects to deliver the fast-prototyping platform
• Champion the innovation across the organizations and industries as an expert in the subject, either by providing consulting or by contributing to technology talks and presentations
• Present technical solutions, capabilities, considerations, and features in business terms; effectively communicate status, issues, and risks in a detailed and timely manner
• Make decision on tradeoffs/priority during the design and execution, such as tradeoff between performance and flexibility, scope and timelines, availability, and scalability, etc.
• Present and demo the research solutions to a committee on the regular basis

Requirements:

• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Experience programming in at least one or more in Java, Python, Scala and Go
• Strong understanding of algorithms and data structures
• Experience in leading, building and supporting scalable and reliable data solutions, AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.) in an agile manner
• Hands-on experience developing and maintaining machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring
• Hands-on experience and/or academic background partnering with data scientists and can speak knowledgeably about the major machine learning paradigms, algorithms, and software tools
• Hands-on experience and/or academic background translating data science problem statements into corresponding data, infrastructure, or workflow needs
• Familiarity with the associated open-source ecosystem (e.g., mlflow, cortex, seldon, Kubeflow, tfx) is a plus
• Knowledge and experience working with Frond-end web application frameworks (Angular/React) along with HTML, CSS, JavaScript is a plus
• Knowledge and experience working with REST/JSON-RPC services, SQL, and NoSQL database is a plus

What We Offer:

• Employment contract, full-time
• Retirement benefits
• Baby Bonus (GBP 500 gross in local currency)
• Life insurance
• Lunch allowance (PLN 183 per month)
• Medical insurance (LuxMed)

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.The offer applies to permanent work.Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

Expected salary

Location

Warszawa, mazowieckie

Job date

Sun, 28 Jul 2024 00:54:58 GMT

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