Data Scientist / AI Engineer
Posted 584 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 2 hours ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 584d ago
The date the source published, not the day we noticed it (2025-03-05). Last seen at its source 2h ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Poland
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay PLN 300.1k–399.8k/yr
Middle 50% of 40 listings that do state pay — Engineering · all levels · Poland · PLN/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Recruitee employer's own board first seen 5d ago · last seen 2h ago
The listing
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.
As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
As a Lead Data Scientist / AI Engineer / Tech Lead, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
AI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.
🚀 Your main 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.
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills.
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.
🎯 What you’ll need to succeed in this role:
6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams.
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 (preferably AWS and/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.
Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences. Benefit from partnerships with Databricks and Anthropic, which provide access to industry-leading training materials and certification programs.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.