Aktualne oferty pracy związane z MLOps Engineer @ Deepsense.ai Sp. z o.o. - Warsaw - Deepsense.ai Sp. z o.o.
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ML on Edge Engineer @ Deepsense.ai Sp. z o.o.
4 tygodni temu
Warsaw, Polska Deepsense.ai Sp. z o.o. Pełny etatAt deepsense.ai we have 10 years of experience delivering AI advisory and implementation services to large and mid-sized businesses in the United States and Europe. Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Nielsen, Whirlpool, Janssen, Volkswagen, L’Oréal, Intel, Nvidia, Google, Hitachi,...
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ML on Edge Engineer
2 miesięcy temu
Warsaw, Polska deepsense.ai Pełny etattechnologies-expected : C++ Python Git technologies-optional : Android about-project : AWe are looking for an ambitious ML on Edge Engineer who wants to work on data and ML-driven projects. At deepsense.ai you will have an opportunity to take part in commercial machine and deep learning projects, grow your competencies and share your experience with the...
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Senior MLOps Engineer
1 miesiąc temu
Warsaw, Polska Digital Hub Warsaw at Bayer Pełny etattechnologies-expected : Python SQL Databricks Azure Docker MLFlow Github Azure ML Azure Data Factory Bash about-project : Are you ready to make a significant impact in the world of data science? We are seeking a talented Senior MLOps Engineer to become a vital part of our dynamic Data Science Team at Bayer Consumer Health. In this role, you will play a...
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Senior MLOps Engineer
1 miesiąc temu
Warsaw, Polska myGwork Pełny etatThis job is with Bayer UK & Ireland, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. [[title]] For Digital Hub Warsaw, we are looking for: Senior MLOps Engineer Are you ready to make a significant impact in the world of data science? We are...
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Python Developer @ emagine Sp. Z o.o.
4 tygodni temu
Warsaw, Polska emagine Sp. Z o.o. Pełny etatIndustry: Fintech Work model: 3 days onsite / Warsaw centrum Contract’s length: B2B, 3 months + extension Project language: English Start: ASAP We are currently looking for skilled Python Developer to join a leading global fintech company that provides smarter and more flexible payment experiences. NEXT STEPS: Initial conversation with one of our...
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Senior MLOps Engineer @ AVENGA
4 miesięcy temu
Warsaw, Polska AVENGA Pełny etatExperience with Kubernetes Experience in operationalization of Data Science projects (MLOps) using at least one of the popular - frameworks or platforms (e.g. Kubeflow & AWS Sagemaker). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and...
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DevOps Engineer @ IIG sp. z o.o.
1 miesiąc temu
Warsaw, Polska IIG sp. z o.o. Pełny etatDołącz do IIG – Razem Tworzymy Przyszłość! Czy poszukujesz miejsca, gdzie innowacja spotyka się z integracją, a praca zespołowa jest kluczem do sukcesu? W IIG wierzymy, że to ludzie tworzą technologię. Nasza firma to nie tylko nowoczesne rozwiązania IT, ale przede wszystkim zgrany zespół, który wspólnie dąży do realizacji celów...
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DevOps Engineer @ AppYourself Sp. z o.o.
1 miesiąc temu
Warsaw, Polska AppYourself Sp. z o.o. Pełny etatWho we are and what we do? The homepage builder - but for native mobile apps! We are a German software company working on our own greatest ever digital product. As part of a large publishing house, we offer a platform that allows clients to create their own mobile applications from a set of various modules. With additional services and individual customizing...
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MLOps Engineer
4 miesięcy temu
Warsaw, Polska Antal Sp. z o.o. Pełny etatAbout the project We are recruiting for an advanced advertising ecosystem spanning smart devices across TV, mobile, and desktop. This project connects brands with TV audiences, building a cutting-edge advertising platform using machine learning to enhance targeting, personalization, and optimization, resulting in higher engagement and conversion...
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Senior Azure MLOps Engineer @ hubQuest
1 miesiąc temu
Warsaw, Polska hubQuest Pełny etatYou are invited to join our partner's Global Analytics unit which is a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations. Currently we are looking for a Senior Azure MLOps Engineer as we are supporting our partner in developing Global Analytics unit which...
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QA Engineer @ emagine Sp. Z o.o.
4 tygodni temu
Warsaw, Polska emagine Sp. Z o.o. Pełny etatPROJECT INFORMATION: Industry : Gambling Work model : 90% remote, office visits once a month in Warsaw (or less) Candidate’s location : Warsaw, Lublin, Cracow, Białystok or surroundings Start : ASAP / 2 month Assignment type : B2B Project language : English Duration : 12 months (extendable) Workload : Full time ROLE DESCRIPTION: For our client, we are...
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IT Project Manager @ ONITO Sp. z o.o.
1 miesiąc temu
Warsaw, Polska ONITO Sp. z o.o. Pełny etatPowiększamy nasz zespół PM o kolejną osobę. Jeśli ta ścieżka kariery jest dla Ciebie interesująca i chcesz się dalej realizować w tym zakresie oraz zdobyć nowe doświadczenie – zapraszamy na rekrutację. Nasz zespół pracuje w 100% zdalnie. Kim jesteśmy? ONITO Sp. z o.o. to doświadczony zespół ekspertów, który świadczy usługi IT dla...
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Senior Data Engineer @ emagine Sp. Z o.o.
4 tygodni temu
Warsaw, Polska emagine Sp. Z o.o. Pełny etatPROJECT INFORMATION: Industry: Pharmaceutical Rate: 160 - 180 PLN/h Remote work: Remote (occasional trips to the Warsaw and Denmark offices) Assignment type: B2B Start: ASAP Project length: tiil 30/04/2025 Project language: English PROJECT DESCRIPTION: As a Data Engineer, you will be an integral member of AN Agile data team working on a global...
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Solution/DevOps Engineer @ ITFS Sp. z o.o.
4 tygodni temu
Warsaw, Polska ITFS Sp. z o.o. Pełny etatMiejsce pracy: 100% zdalnie Start pracy: ASAP (akceptowalny max 1 msc okresu wypowiedzenia) Forma współpracy: B2B Stawka: 100-136 zł/h netto + Vat (w zależności od doświadczenia) Proces rekrutacyjny: rozmowa telefoniczna z ITFS (ok. 20 min.) → rozmowa techniczna Klientem → rozmowa projektowa → decyzja Wymagania: min 2 lata doświadczenia z GCP...
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Software Engineer @ Webinterpret Poland Sp. z o.o.
1 miesiąc temu
Warsaw, Polska Webinterpret Poland Sp. z o.o. Pełny etatShort job description: Location: Remote / Warsaw, Inflancka 4a Experience: Middle Work framework: Scrum / Kanban Employment Type: B2B Location: Fully remote, hybrid, or office based on your preference Flexible working hours: Yes (with a start time between 8.00 AM - 10.00 AM CET/CEST) Technology stack: Main technologies: Python 2.7, Python 3.10+, SQL,...
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Senior MLOps Engineer
2 miesięcy temu
Warsaw, Polska Chabre IT Services Sp. z.o.o Pełny etatWorking as Senior MLOps Engineer, you will:Develop and deploy machine learning models using MLflow and Seldon Deploy, ensuring robust and scalable ML pipelinesManage infrastructure using Kubernetes and Infrastructure as Code (IaC) with Terraform, optimizing cloud solutions (GCP preferred)Collaborate with cross-functional teams to align technical solutions...
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Programista Testów Automatycznych @ IIG sp. z o.o.
1 miesiąc temu
Warsaw, Polska IIG sp. z o.o. Pełny etatDołącz do IIG – Razem Tworzymy Przyszłość! Czy poszukujesz miejsca, gdzie innowacja spotyka się z integracją, a praca zespołowa jest kluczem do sukcesu? W IIG wierzymy, że to ludzie tworzą technologię. Nasza firma to nie tylko nowoczesne rozwiązania IT, ale przede wszystkim zgrany zespół, który wspólnie dąży do realizacji celów...
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Key Account Manager @ Jupiter Integration Sp. z o.o.
1 miesiąc temu
Warsaw, Polska Jupiter Integration Sp. z o.o. Pełny etatFirma Jupiter-Integration Sp. z o.o. to autoryzowany sprzedawca Apple, Samsung, Motorola i autoryzowany serwis produktów Apple. Oferujemy także rozwiązania z dziedziny profesjonalnego video. Nasza spółka to ludzie, którzy od wielu lat zajmują się sprzedażą i serwisem produktów Apple i tworzyli ten rynek w Polsce. Spółka realizuje rokroczne...
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Logistykiem sklepowym w zespole Timing Sp. z o.o.
24 godzin temu
Warsaw, Polska Timing Sp. z o.o. Pełny etatZakres naszej oferty:Współpracujemy ze Timing Sp. z o.o., jedną z czołowych firm w branży logistycznej.Przedmiotem naszego zatrudnienia jest pozycja Logistyka. W wyniku tej współpracy chcielibyśmy do naszego zespołu zaprosić pełnowymiarowego pracownika, który będzie odpowiadał za obsługę dostaw towarów od klienta oraz organizację i...
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DevOps Engineer @ Falck Digital Technology Poland Sp. z o.o.
1 miesiąc temu
Warsaw, Polska Falck Digital Technology Poland Sp. z o.o. Pełny etatThe DevOps Engineer plays a pivotal role in bridging the gap between development and operations teams, facilitating the implementation of continuous integration, continuous delivery (CI/CD), and automation practices. By optimizing processes and infrastructure, the DevOps Engineer enhances the efficiency, reliability, and scalability of software delivery...
MLOps Engineer @ Deepsense.ai Sp. z o.o.
4 tygodni temu
deepsense.ai helps companies gain a competitive advantage by providing customized AI-powered end-to-end solutions, with the main focus on AI software, team augmentation and AI advisory services.
Our technology capabilities include computer vision, predictive analytics and natural language processing. We also deliver machine learning and deep learning training programs to support companies in building in-house AI capabilities.
We are looking for a professional to help us build scalable, robust and production-grade ML platforms for our clients. In this role you will work alongside our MLOps and machine learning engineers to build infrastructure for training and serving ML models (including LLMs) and supporting the full lifecycle of AI development, through automation, monitoring and the best MLOps practices.
We offer:
opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production,
collaborative and supportive work environment, where you can grow and learn from a team of talented professionals,
an opportunity to participate in conferences and workshops around the world,
an opportunity to participate in Tech Talks (internal training and seminar sessions),
flexible working hours and remote work options.
You must have:
proficiency in the MLOps domain, awareness of best practices, frameworks, tools,
strong experience with cloud (AWS, GCP, Azure), ability to design cloud-native applications using dedicated cloud services for: serverless functions, batch processing, managed kubernetes, relational databases, object storage, data warehouses, message buses, streaming and serverless ML platforms,
experience with deployment of applications in Kubernetes environments (using tools like Helm) but also provisioning, administration and troubleshooting of existing Kubernetes clusters,
experience with Terraform or other Infrastructure-as-a-Code solutions (e.g. Pulumi),
hands-on experience in (object-oriented) programming in Python in particular in AI/ML related use cases, such as development of ML pipelines or model serving,
expertise in enhancing ML systems with proper automation (CI/CD, GitOps, GitHub Actions, ArgoCD), monitoring (CloudWatch, Prometheus, Evidently) and versioning (Git, DVC) tools,
solid understanding of machine learning (including deep learning and LLMs), software engineering and DevOps,
good understanding of Linux systems, essential for maintaining development and production environments.
You may have:
experience with distributed computing frameworks such as Ray,
experience with design and implementation of data engineering solutions with tools such as: Kinesis, Glue, Airflow, dbt, Great Expectations etc.,
understanding data warehousing (e.g. Snowflake) and data streaming frameworks (e.g., Apache Kafka, Spark, SQL),
experience working with (non-)relational and vector databases (e.g. Pinecone).
deepsense.ai helps companies gain a competitive advantage by providing customized AI-powered end-to-end solutions, with the main focus on AI software, team augmentation and AI advisory services.
Our technology capabilities include computer vision, predictive analytics and natural language processing. We also deliver machine learning and deep learning training programs to support companies in building in-house AI capabilities.
We are looking for a professional to help us build scalable, robust and production-grade ML platforms for our clients. In this role you will work alongside our MLOps and machine learning engineers to build infrastructure for training and serving ML models (including LLMs) and supporting the full lifecycle of AI development, through automation, monitoring and the best MLOps practices.
We offer:
opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production,
collaborative and supportive work environment, where you can grow and learn from a team of talented professionals,
an opportunity to participate in conferences and workshops around the world,
an opportunity to participate in Tech Talks (internal training and seminar sessions),
flexible working hours and remote work options.
,[design and implementation of modern, scalable ML infrastructure (cloud-native or on-premise) to enable both day-to-day work of teams as well as deployment of pipelines and models,, collaboration with Data Scientists and Machine Learning Engineers to design the architecture of MLOps solutions to meet functional and performance requirements,, implementing and ensuring compliance with the best MLOps practices in the areas of automation (e.g. CI/CD), monitoring, versioning (code, data, models) and infrastructure,, performing code reviews for other MLOps Engineers but also other roles in the team,, delivering high quality code and infrastructure, properly tested and aligned with the project requirements.] Requirements: Python, Clouds, LLMs, Terraform, Kubernetes, Ray framework Additionally: Training budget, Private healthcare, Lunch card, Small teams, International projects, Free coffee, Canteen, Bike parking, Playroom, Shower, Free snacks, Free beverages, Free lunch, In-house trainings, No dress code, Free breakfast, Theatre discount, Fruits and veggies twice a week, Onsite English lessons.