Senior Data Associate Italian jobs at Amazon in Poland, Gdansk

A day in the life
In this role, you will:
- Design and implement audio/video pipelines and board support packages for next-generation SoCs
- Work on secure boot implementations and hardware abstraction layers- Contribute to reference applications that demonstrate SDK capabilities
- Focus on creating maintainable, well-tested code that enables rapid product development

- - Proficiency in C/C++ firmware development with constrained resources (MIPS, RAM, FLASH, I/O)
- - Experience with embedded CPU architecture
- - Use of security technologies and protocols
- - Real-time, multi-threaded experience with Linux and/or RTOS
- including external libraries in C applications
- - Working in a development environment including editing, make, and source control
- - Reading schematics and using hardware lab equipment such as scopes, logic analyzers, etc.
- - Active participant in bringing at least one successful product to market.
- - Bachelor’s degree in a STEM field

- Audio/Video codec knowledge
- Experience with camera image processing
- Embedded Linux (uBoot, Kernel, Driver)
- Bare metal, assembly, BSP, POST, RTOS
- Experience with Wireless (WiFi, Bluetooth, Zigbee, sub-GHz) stacks

Want to work on one of the coolest and most innovative pieces of LLM technology in recent years?
As a Machine Learning Engineer in AGI vertical services , you will work with talented peers on low-latency distributed systems in the latest generative speech technology. Your work will be characterized by high scale, complexity and the need for invention. You'll need to be passionate about distributed systems and understand how technology translates into customer experience. You will directly impact our customers and change the landscape of voice-based interactions. You can see and hear your code making a difference. How cool is that?

- Masters in Computer Science or equivalent AI/ML experience
- Founder mode mindset with excellent bias for action
- Experience in LLM research to production workflow
- Be flexible in delivering solutions in dynamic environment
- Expertise in LLM Inference serving & optimizations
- Be familiar with working with science , engineering and product teams
-Strong AI/ML engineering experience in development of LLMs
- Proficiency in at least one modern programming language (Java, C/C++, C#)
- Proficiency in at least one scripting language (Python, Ruby, Perl)
- Experience with Linux/Unix systems and Bash scripting
- Solid knowledge of CS fundamentals (algorithms, data structures).
- Professional communication skills and ability to contribute to team discussions
- English language working proficiency

- Familiarity with model deployment, evaluations and scalability
- Streaming and multi modal LLM experience
-Experience with various processes in the full SDLC (coding standards, code reviews, source control, build systems, integration and deployment, maintenance, updates, etc.)
- Distributed systems
- Experience with both front-end and back-end
- Efficient technical communication with peers and non-technical cohorts.
- Experience with end-to-end agile software development

As a Senior Software Development Engineer you'll collaborate with cross-disciplinary teams to build cloud software for Ring's consumer electronics products. From enhancing existing features to designing new from scratch, you'll have rare opportunity to analyse customer experiences, work on proof-of-concepts, develop high-performance production-ready cloud services and launch them at a truly global scale.
Key job responsibilities
- autonomously drives engineering initiatives,
- designs, implements, and refines product development, testing, and production support processes,- helps to create and oversee project budgets and engages in cost management strategies,
- assures high quality of deliverables and services rendered,
A day in the life
If you:
...then this role is tailored for you.You will find us as a supportive and inclusive environment that fosters continuous growth, knowledge-sharing, and a deep sense of camaraderie. Together, we push boundaries, explore new frontiers, and deliver solutions that make lasting impact.

- Bachelor’s degree in computer science or a related field, or equivalent work experience,
- A number of years experience working on production systems,
- Valuable experience working with OO design/ principles,
- Must have experience working with scalable system architectures, ideally cloud-based,
- Experience in a variety of modern programming languages (Java, Golang and/or Python) and open-source technologies

Key job responsibilities
You will work with Software Development Engineers to understand features and technical implementation. You will also work with groups such as Product Management, Science Engineering to understand customer usage models and develop test plans and suites that approximate real-world environments and regression tests driving the software development process toward quality-centric methodologies.You will develop automated tests to help fasten testing cycles and release faster to our customers. In this role, you will be responsible to deliver manual/automated solutions to test customer facing features. As innovators we embrace new technology, you will be empowered to choose the right highly scalable and available technology to solve complex problems in software quality assurance.A day in the life

- BS in Computer Science or equivalent combination of technical education and work experience
- QA experience within Industry
- Experience in automation testing using Python
- Excellent knowledge of testing methodologies
- Experience in writing test documentation

- Experience with DB and SQL
- Experience with API testing (Postman)
- Experience in UNIX/Linux
- Ability to work in a fast-paced work environment
- Understanding of Cloud services.
- Experience in AWS

Key job responsibilities- Write compelling narratives to share data stories to stakeholders and equip them to make informed decisions and future plans.- Take a proactive approach to defining new metrics, reports, and dashboards.
- Develop self-service dashboards using Tableau, Quicksight.A day in the life

- Experience analyzing and interpreting data with relational databases
- Experience with writing complex SQL queries
- Experience with data modelling, warehousing and designing ETL pipelines
- Experience using scripting languages Python, Java Script in order to process data for modelling
- Experience with AWS, including Redshift, S3, Athena.
- Experience in statistical and root cause analysis techniques
- Experience with data visualization using Tableau, QuickSight, or similar tools

- Proficient in handling big data volumes, composition of advanced SQL and query performance tuning skills.
- Experience in data mining in a business environment with large-scale, complex datasets.
- Experience in workforce performance management or business process automation analysis or system analysis would be a plus.

Our products automate high-effort and repetitive tasks and ship with intuitive and streamlined interfaces so that our operators can focus on making high-judgement decisions and responding to the unexpected. We are world-class systems builders who believe that being right means knowing when a problem requires invention and when we should adapt existing technology and relentlessly simplify it.
Key job responsibilities
- Perform complex diagnostics and resolution of critical robotic system issues through advanced data analysis and technical troubleshooting.

- 2+ years of experience in a technical role, preferably in support engineering or system administration.
- Excellent written and verbal communication skills, able to convey complex technical details clearly and concisely to relevant customers and stakeholders.
- Strong problem-solving skills, particularly in the ares of technical debugging and diagnostics.
- General understanding of networking concepts like TCP/IP, DNS, routing, security.
- General knowledge or experience of UNIX/LinuxFamiliarity with cloud platforms (e.g. AWS, Azure, GCP).
- Bachelor's degree in information technology or computer science, or a combination of relevant education and experience.

- 4+ years of experience in a technical support or support engineering role.
- Experience working with AWS (e.g. EC2, EBS, S3, Route53)
- Experience working with SQL.
- Experience working with observability platforms (e.g. Grafana, Kibana) for monitoring, troubleshooting, and diagnostic.
- Experience working with monitoring and alerting systems (e.g. CloudWatch, Prometheus).

Key job responsibilities
- Work with engineering and business stakeholders to understand data requirements
- Lead the design, model, and implementation of large, evolving, structured and unstructured datasets
- Evaluate and implement efficient distributed storage and query techniques- Implement robust and maintainable code with clear and maintained documentation
- Implement test automation on code implemented through unit testing and integration testingA day in the lifestay on top of latest trends in data warehousing and be able to coordinate and work on multiple,
related projects.

- Multiple years industry experience
- Proficiency in writing complex SQL with PostgreSQL, Redshift or other RDB
- Coding proficiency in at least one programming language: Python, Scala, Java
- Experience in data modelling, data warehousing and building ETL/ELT pipelines
- Experience with AWS, including Redshift, S3, RDS, Athena, Elastic MapReduce
- Data modelling experience and data warehouse technical architectures, reporting/analytic tools

- Degree in Computer Science, Engineering, Mathematics, or a related field
- Data Warehousing experience with Redshift, Teradata.
- Experience with workflow management platforms for data engineering pipelines (ex. Apache Airflow)
- Experience with Big Data Technologies (Spark, Hadoop, Hive, Pig, etc.)
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space