Opis stanowiska
podany przez pracodawcę :
Senior Machine Learning Engineer
Kraków
NR REF. : 1191777
Your new company
Our Client is a global company located in Krakow that is developing high quality software-as-a-service products. On behalf of the company, we are currently looking for a Senior Machine Learning Engineer who will play a key role in levelling up the retrieval-augmented generation (RAG) platform for various channels like customer service bots, email, and search. Working with other ML Engineers you will build high-quality AI products using the latest tools and techniques.
Your new role
- Delivering AI-powered capabilities to customers using the latest in LLM technology
- Working closely with Product Management, ML Scientists and other ML Engineers to define feature scope and implementation strategies
- Mentoring junior team members, as well as pairing with more experienced colleagues to foster mutual learning
- Supporting deployed services to ensure a high level of stability and reliability
- Contributing to discussions regarding technical design and best practices
- Writing clean and maintainable code to meet the team’s delivery commitments
What you39ll need to succeed
Min. 5 years of experience as a Machine Learning Engineer or related positionProficiency in Python, along with experience in relevant testing frameworksExperience in designing and implementing RAG systemsExperience with using LLMsSolid understanding of architecture and software design patterns for server-side applicationsCollaborative and growth mindset, with a commitment to ongoing learning and developmentSelf-managed and agile, with the ability to problem-solve independentlyExperience building scalable and stable software applicationsAbility to formulate hypotheses, conduct experiments, and analyze results to inform engineering decisionsExperience with managing and deploying cloud services with AWS (or other cloud platform)Technology stack
The code is largely written in Python, with some parts in RubyPlatform is built on AWSData is stored in RDS MySQL, Redis, S3, ElasticSearch, Kafka, and AthenaServices are deployed to Kubernetes using Docker, with Kafka for stream processingInfrastructure health is monitored using Datadog and SentryWhat you39ll get in return
Joining team of passionate peopleWorking with LLMs and RAG (retrieval augmented generation), rapidly evolving fields in AIOwnership of the product features at scale, making a significant impact for millions of customersFlexible working hours, work-life balancePermanent contract of employmentProfessional development fundsComfortable office and a remote-friendly environmentWhat you need to do now
If you39re interested in this role, click 39apply now39 to forward an up-to-date copy of your CV, or call us now.
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