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Salary
$62k – $81k per year
Location
Remote (Poland)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Addepto is an international AI and data science consulting firm that specializes in building custom artificial intelligence, machine learning, and data engineering solutions. The company assists businesses across various industries - including finance, retail, and manufacturing - in modernizing their data infrastructure and automating complex processes. Headquartered in Poland with a global presence, Addepto helps organizations unlock business value from their data through end-to-end consulting and technical execution.

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 Senior Data Scientist / ML Engineer, 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.

In this position, you will:

  • Develop, implement, and validate Machine Learning models to support business objectives.

  • Design AI solutions that address complex business challenges and drive value.

  • Research, test and select the best tools and technologies as well as AL 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.

What you'll need to succeed in this role:

  • 5+ years of commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, 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 (AI agents, 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.

  • Master's or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.

  • Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.

  • Leadership and mentoring experience is highly desirable.

Discover our perks and 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 paths, knowledge-sharing initiatives, language classes, and sponsoredtraining or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.

  • Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off

  • Participate inteam-building events and utilize the integration budget.

  • Celebrate work anniversaries, birthdays, andmilestones.

  • Access medical andsports 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.

Are you interested in Addepto and would like to join us?

Get in touch! We are looking forward to receiving your application. Would you like to know more about us?

Visit our website (career page) and social media (Facebook, LinkedIn, Instagram).

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