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Senior Machine Learning Engineer
2 tygodni temu
technologies-expected :
Python
PyTorch
Transformers
Terraform
about-project :
The three teams in our streamlined squad are currently working on several LLM-based use-cases to serve jobseekers better fitting jobs and recruiters better fitting talents via semantic search.
This exciting role will be about designing, planning and implementing systems based on LLM-inference, including advanced RAG.
To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment.
You can support streamlining deployment and establish best practices in MLOps for large models to build a better future where a new job is just a click away.
responsibilities :
Your role as Senior Machine Learning Engineer will encompass implementating and productionising ML-based services using Sagemaker, but also streamlining delivery of machine learning products in general.
You will be a key figure in our team to establish and utilize best practices for MLOps, IaC and CI/CD best practices to increase efficiency in deployment, scalability and management of resources in LLM-based pipelines.
This role allows for direct impact on the experience of jobseekers and recruiters Leverage your experience to build a framework for semantically matching talents to job profiles across the globe with a strong sense of ownership and a holistic understanding of ML-based systems.
We are looking for a person who enjoys extensive collaboration, who is willing to learn and contribute to technical discussion, bringing bleeding edge technology and knowledge to our search and recommender solutions.
Showcase your track record of elevating processes, standards, and ways of working, and your background in coaching and mentoring more junior engineers.
To thrive in our fast-paced environment you will contribute to our Chapters in Data Science and Machine Learning Engineering, able to work across teams to help everyone work together effectively.
Demonstrate your growth mindset and systematic approach to problem-solving, as well as your experience in navigating the dynamics of an Agile environment.
Fluent in English? Fantasticrequirements-expected :
5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field
Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of LLMs
Experience with LLM-related packages, such as PyTorch, Transformers etc.
Experience with IaC (Terraform), CI/CD, and test automation best practices
Bachelor's degree in Computer Science or a related field; Master's degree is preferred
benefits :
private medical care
life insurance
remote work opportunities
flexible working time
integration events
dental care
corporate library
no dress code
video games at work
parking space for employees
leisure zone
redeployment package
employee referral program
charity initiatives
Hackathons, Knowledge Sharing Hours
in-house projects
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