Senior ML Engineer (GCP)

About us

GetInData | Part of Xebia is a leading data company working for international Clients, delivering innovative projects related to Data, AI, Cloud, Analytics, ML/LLM, and GenAI. The company was founded in 2014 by data engineers and today brings together 120 Data & AI experts. Our Clients are both fast-growing scaleups and large corporations that are industry leaders. In 2022, we joined forces with Xebia Group to broaden our horizons and bring new international opportunities.

What about the projects we work with?
We run a variety of projects in which our sweepmasters can excel. Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine Learning Models, Generative AI and more. We like working with top technologies and open-source solutions for Data & AI and ML/AI. In our portfolio, you can find Clients from many industries, e.g., media, e-commerce, retail, fintech, banking, and telcos, such as Truecaller, Spotify, ING, Acast, Volt, Play, and Allegro. You can read some customer stories here.

What else do we do besides working on projects?
We conduct many initiatives like Guilds and Labs and other knowledge-sharing initiatives. We build a community around Data & AI, thanks to our conference Big Data Technology Warsaw Summit, meetup Warsaw Data Tech Talks, Radio Data podcast, and
DATA Pill newsletter.

Data & AI projects that we run and the company's philosophy of sharing knowledge and ideas in this field make GetInData | Part of Xebia not only a great place to work but also a place that provides you with a real opportunity to boost your career.

If you want to be up to date with the latest news from us, please follow up on our LinkedIn profile.

About role

ML Engineers specializing in Generative AI are responsible for streamlining machine learning project lifecycles focused on Generative AI by designing and automating workflows, implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking. 

Their work mainly focuses on building Generative AI applications based on state-of-the-art Generative AI models by integrating open-source models or third-party commercial services offering Generative AI models as a service. They are not responsible for the Generative-AI models training but for integrating the best-in-class tools into production-level applications. They collaborate with stakeholders and platform engineers to set up infrastructure, automate model deployment, and monitor models. 

ML Engineer - Generative AI possesses a wide range of technical skills, including knowledge of orchestration, storage, containerization, observability, SQL, programming languages, cloud platforms, and data processing. Their expertise also covers techniques related to Information Retrieval (IR), Natural Language Processing, semantic search, and vector databases.

Responsibilities

• Designing and architecting machine learning workflows / machine learning lifecycle process

• Collaborating with Platform Engineers to setup the infrastructure required to run MLOps processes efficiently

• Implementing knowledge-retrieval systems, semantic search, or vector stores using e.g. Elasticsearch

• Building AI-based applications like conversational search, recommendation systems or chatbots

• Collaborating with stakeholders to understand the main pain points and inefficiencies of Machine Learning project lifecycles within the company

• Keeping abreast of the latest trends and advancements in data engineering, machine learning, and AI

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

• Extensive experience in data engineering, including working with BigQuery, Airflow

• Commercial experience in text processing, like calculating embeddings, configuring free-text or semantic search systems, using technologies like Elasticsearch, Langchain, LlamaIndex, or similar

• Solid experience working with VertexAI

• Proficiency in Python

• Familiarity and experience with commercial and/or open-source LLMs

• Familiarity with GCP environment

• Solid understanding of machine learning and AI principles

• Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement

• Salary: 170 - 220 PLN net + VAT/h B2B (depending on knowledge and experience)

• 100% remote work

• Flexible working hours

• Possibility to work from the office located in the heart of Warsaw

• Opportunity to learn and develop with the best Big Data experts

• International projects

• Possibility of conducting workshops and training

• Certifications

• Co-financing sport card

• Co-financing health care

• All equipment needed for work