Aktualne oferty pracy związane z Data/ML Platform Tech Lead - Warszawa, Mazovia - Beesafe

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    1 tydzień temu


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    2 dni temu


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  • Warszawa, Mazovia, Polska hubQuest Pełny etat

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  • ML Ops Engineer

    4 tygodni temu


    Warszawa, Mazovia, Polska Square One Resources Sp. z o.o. Pełny etat

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Data/ML Platform Tech Lead

4 tygodni temu


Warszawa, Mazovia, Polska Beesafe Pełny etat
About Us: Join our trailblazing team as we expand our digital horizons. From our beginnings as visionary InsurTech to becoming a key player in the Polish digital insurance market, we are part of the esteemed Vienna Insurance Group. We're redefining the rules in the insurance industry with our innovative approach. Our hybrid working model supports both the collaborative energy of office work and the flexibility of remote work.

About the Role: We're seeking passionate Data Engineer, both at mid and senior levels, to join our team. You'll be at the heart of developing and implementing high-quality application software, using state-of-the-art tools and technologies. This is your chance to make a significant impact on one of the most exciting and unique products in the Polish digital insurance market.

Why Join Us?

- Be part of a dynamic team driving digital innovation in the insurance and eCommerce sectors
- Opportunity to work in a collaborative and forward-thinking environment
- Contract options: B2B cooperation
- Engage in meaningful work that directly impacts business success
- Join a company that values work-life balance and fosters a positive team culture
- Comprehensive onboarding, including a dedicated Buddy program
- Remote work flexibility with hybrid office visits
- Flexible working hours
- Access to the latest tools and cloud-native solutions
- A comprehensive benefits package, including health insurance and MultiSport card
- Employee discounts on insurance products
- Referral program and sports club memberships

Sounds interesting?

Join us and help shape the future of AI-driven insurance solutions

What you need to start the adventure with us:

- Proven experience as a Tech Lead or a strong aspiration to take on a leadership role in cloud-based data and AI projects.
- Commercial experience in building Data, Analytics, or MLOps/LLMOps Platforms in the Cloud (Azure preferred).
- Hands-on expertise in machine learning model lifecycle management, deployment, and monitoring in a cloud environment.
- Practical knowledge of open-source Big Data tools (e.g., Kafka, Airflow, Presto, Spark).
- +3 years of programming experience (Python preferred, but Java/Scala experience with a willingness to learn Python is also welcome).
- Experience in database development, data model design, and distributed systems.
- Strong business acumen and collaboration skills, with a proactive approach to addressing service needs and operational demands.
- Understanding of Agile and Scrum principles (we work in Scrum, by the way).

Nice to have:

- Hands-on experience in MLOps/LLMOps, including model versioning, CI/CD pipelines for ML, and monitoring of deployed AI models.
- Familiarity with Databricks, BI Tools, and Azure Machine Learning Services.
- Experience with DevOps, Kubernetes, and microservices architectures.
- Strong mentoring skills, supporting other engineers in their professional growth.
- Passion for informal discussions over coffee or tea—we believe great ideas start in a relaxed atmosphere

About Us: Join our trailblazing team as we expand our digital horizons. From our beginnings as visionary InsurTech to becoming a key player in the Polish digital insurance market, we are part of the esteemed Vienna Insurance Group. We're redefining the rules in the insurance industry with our innovative approach. Our hybrid working model supports both the collaborative energy of office work and the flexibility of remote work.

About the Role: We're seeking passionate Data Engineer, both at mid and senior levels, to join our team. You'll be at the heart of developing and implementing high-quality application software, using state-of-the-art tools and technologies. This is your chance to make a significant impact on one of the most exciting and unique products in the Polish digital insurance market.

Why Join Us?

- Be part of a dynamic team driving digital innovation in the insurance and eCommerce sectors
- Opportunity to work in a collaborative and forward-thinking environment
- Contract options: B2B cooperation
- Engage in meaningful work that directly impacts business success
- Join a company that values work-life balance and fosters a positive team culture
- Comprehensive onboarding, including a dedicated Buddy program
- Remote work flexibility with hybrid office visits
- Flexible working hours
- Access to the latest tools and cloud-native solutions
- A comprehensive benefits package, including health insurance and MultiSport card
- Employee discounts on insurance products
- Referral program and sports club memberships

Sounds interesting?

Join us and help shape the future of AI-driven insurance solutions

,[You'll be leading cutting-edge tech initiatives in the Azure Cloud, using state-of-the-art tools and methodologies., You'll own your work, influencing the project's architecture, strategy, and direction., You'll play a key role in shaping MLOps/LLMOps pipelines, improving data availability, and ensuring seamless collaboration between analytics and IT teams., You'll be joining a team of customer-focused Data Analysts, Data Engineers, and Machine Learning Engineers to drive one of the most exciting products on the Polish insurance market.] Requirements: Azure Cloud, MLOps, Machine learning, AI, Cloud, Azure, Big data, Kafka, Airflow, Presto, Spark, Python, Java, Scala, CI/CD Pipelines, Databricks, BI, DevOps, Kubernetes, Microservices architecture Additionally: Sport Subscription, Private healthcare, Remote work, Work-life balance, Employee referral bonus, Flexible working hours, Discounts, Small teams, Training budget, International projects, Flat structure, Free coffee, Shower, Bike parking, Canteen, Free parking, In-house trainings, Modern office, Startup atmosphere.