Data Scientist / ML Engineer (Praca zdalna)

Addepto

Kraków +7 więcej
19320 zł/mth.
Zdalna, Hybrydowa, full office
🐍 Python
☁️ AWS
SQL
🚢 Kubernetes
🐳 Docker
🤖 AI
🧠 ML
Pytorch
TensorFlow
🌐 Zdalna
Hybrydowa
full office
📊 Data Science
🤖 Generative AI
LLM
Cloud
Machine Learning

Requirements

Expected technologies

Python

AWS

SQL

Kubernetes

Docker

AI

ML

Pytorch

TensorFlow

Optional technologies

React.js

Node.js

JavaScript

TypeScript

Fullstack

Operating system

Windows

macOS

Our requirements

  • Proven commercial experience (+3 years) designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI).
  • Proficiency in developing ML algorithms from scratch to production deployment.
  • Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
  • Proven expertise in deploying solutions in cloud environments (AWS or Azure).
  • Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
  • High proficiency in English (C1 level).
  • Excellent communication skills and consulting experience with direct interaction with clients.
  • Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
  • Good knowledge of CI/CD principles (GitHub and GitHub Actions).
  • Familiarity with MLOps practices, Kubernetes and Docker.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field.

Optional

  • Practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript).

Your responsibilities

  • Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
  • Lead the design of AI solution architectures that meet complex business goals and drive innovation.
  • Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
  • Understand clients’ needs and translate business problems into data science problems.
  • Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
  • Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
  • Present findings and recommendations clearly and concisely to stakeholders.
  • Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.
Wyświetlenia: 4
Opublikowana12 dni temu
Wygasaza 12 dni
Tryb pracyZdalna, Hybrydowa, full office
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