Aktualne oferty pracy związane z Principal Machine Learning Engineer - Warszawa - Betterview
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Principal Machine Learning Engineer
1 tydzień temu
Warszawa, Polska ReSpo·Vision Pełny etatJust fill out the form and we’ll get in touch with you shortly! ReSpo.Vision is an AI and Computer Vision company transforming how sports are analyzed, visualized, and monetized. Our proprietary single-camera system extracts elite-level tracking data and performance analytics from standard broadcast or tactical video, without wearables or in-venue...
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Machine Learning Engineer
1 tydzień temu
Warszawa, Polska BILLENNIUM SPÓŁKA AKCYJNA Pełny etatSocial network you want to login/join with: As a Machine Learning Engineer at our company, you will play a crucial role in our operations. You will be integral to our Machine Learning Platform, which empowers Data Scientists to build, deploy, and maintain Machine Learning use cases using AWS functionalities. Your role involves guiding and co-creating...
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Machine Learning Engineer
7 dni temu
Warszawa, Mazovia, Polska In4Ge Pełny etat 120 000 zł - 180 000 zł rocznieAktualnie do jednego z projektów, który realizujemy dla naszego Klienta, poszukujemy osoby na stanowisko Machine Learning Engineer.
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Principal Machine Learning Systems Engineer
4 tygodni temu
Warszawa, mazowieckie, Polska Nearmap Pełny etat 38 złCompany DescriptionNearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward.Harnessing its own patented camera systems, imagery capture, AI,...
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Machine Learning Engineer
1 tydzień temu
Warszawa, Polska Team Connect Sp. z o.o Pełny etatTeam Connect is Poland’s leading nearshore and offshore IT provider. Since 2008 we successfully create and develop software for our clients. We specialize in Agile and DevOps-based software development – from the analysis stage through implementation. We develop backend, frontend, and mobile applications. Currently, we're looking for: Machine Learning...
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Machine Learning Engineer
4 tygodni temu
Warszawa, mazowieckie, Polska Yard Corporate Pełny etat 26 złPosition: Machine Learning Engineer Location: Warsaw, Hybrid - 2 x weekContract Type: Employment ContractOur client is a fast-growing startup on a mission to revolutionize the IT industry with cutting-edge artificial intelligence. This isn't another corporate job. They're building something from the ground up, and their small, agile team is made up of...
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Machine Learning Engineer
7 dni temu
Warszawa, Mazovia, Polska Elitmind Pełny etat 60 000 zł - 120 000 zł rocznieWe are looking for a passionate Machine Learning Engineer to join our team and help build scalable, production-ready ML solutions. You will work on cutting-edge projects involving predictive modeling, MLOps, and cloud-based deployments, leveraging platforms like Azure Databricks. This is an opportunity to shape the future of AI-driven solutions in a dynamic...
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Machine Learning Engineer
2 tygodni temu
Warszawa, Polska Yard Corporate Pełny etatPosition: Machine Learning Engineer Location: Warsaw, Hybrid - 2 x week Contract Type: Employment Contract Our client is a fast-growing startup on a mission to revolutionize the IT industry with cutting-edge artificial intelligence. This isn't another corporate job. They're building something from the ground up, and their small, agile team is made up of...
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Machine Learning Engineer
7 dni temu
Warszawa, Mazovia, Polska Team Connect Pełny etat 80 000 zł - 120 000 zł rocznieTeam Connect is Poland's leading nearshore and offshore IT provider. Since 2008 we successfully create and develop software for our clients.We specialize in Agile and DevOps-based software development – from the analysis stage through implementation. We develop backend, frontend, and mobile applications.Currently, we're looking for:Machine Learning...
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Machine Learning Engineer
2 dni temu
Warszawa, mazowieckie, Polska in4ge sp. z o.o. Pełny etat 17 złEverything is possible with the right peopleIn4ge jest firmą rekrutacyjną, w której wierzymy, że wszystko jest możliwe dzięki odpowiednim ludziom. Naszym celem jest połączenie najbardziej utalentowanych pracowników z odpowiednimi firmami, tworząc synergiczne relacje, które przyczyniają się do wzrostu i sukcesu każdej ze stron. Uważamy, że...
Principal Machine Learning Engineer
2 tygodni temu
Company Description Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward. Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world. Job Description Machine Learning System (MLOps) Engineers will focus on the technical work required to design, implement, and optimize systems, processes, and pipelines that support the lifecycle and operationalization of machine learning products. Unlike data scientists who prioritize understanding data and building accurate models, and ML engineers that focus on systems, processes and pipelines that enable the models to operate effectively, MLOps Engineers ensure these models and pipelines are seamlessly integrated into scalable and reliable production systems. This role is not DevOps in AI; it involves solving complex software engineering challenges, automating workflows, and collaborating as equals with data scientists and other machine learning engineers. The distinguishing factor for an MLOps Engineer is their expertise in bridging the gap between model development and deployment, leveraging domain knowledge of machine learning frameworks, cloud infrastructure, and tools for observability and orchestration to drive system performance and reliability Qualifications Skills: MandatoryProgramming/Tech Environments : Mastery in Python, Linux, and designing scalable distributed systems. MLOps Leadership : Demonstrated expertise in leading CI/CD, containerization, orchestration, and pipeline development. Engineering Approach: Follow best practices in modern software engineering and MLOps tooling, applying them to build robust, scalable MLOps systems. Highly Desirable: Cloud Computing : Comprehensive expertise in AWS, Terraform, and managing distributed infrastructure at scale. Observability Leadership : Strategic deployment of tools like OpenTelemetry, Prometheus, and Grafana across production systems. LLM and Generative AI : Advanced development and lifecycle management of LLMs, focusing on scalability and safeguards Scaling Systems : Extensive experience in architecting systems that handle massive datasets and multi-node processing. Proven expertise in MLOps , with a strong track record of designing, implementing, and scaling robust systems to support advanced machine learning workflows. Experience leading cross-functional initiatives that streamline collaboration between data scientists and ML engineers , boosting productivity and operational efficiency. Strategic leadership in the development and maintenance of LLM and generative AI systems , with a focus on scalability, security, and performance. Deep knowledge of observability and monitoring practices , ensuring high availability and reliability of production ML systems. Skilled in managing complex, interdependent projects , balancing business priorities with technical excellence. Recognized mentor to senior engineers; actively shapes the engineering culture, strategic direction, and best practices within MLOps teams. Embodies the principles of the Nearmap Leadership DNA , including strategic thinking, innovation, accountability, and team empowerment. Acts with integrity and professionalism, adhering to company values , corporate code of conduct , and relevant legislative and compliance frameworks . Additional Information What we offer: Access to LinkedIn Learning Nearmap subscription Wellbeing and technology allowance #J-18808-Ljbffr
