Addepto

Data Scientist / AI Engineer

Addepto

full-time

Posted on:

Location Type: Remote

Location: Poland

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About the role

  • 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.

Requirements

  • 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.
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 sponsored training 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 make use of 20 fully paid days off.
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningPredictive ModelingOptimizationNatural Language ProcessingLarge Language ModelsComputer VisionPythonML algorithmsSQLNoSQL
Soft Skills
leadershipmentoringcollaborationcommunicationconsultingproblem-solvingproject managementstakeholder engagementAgileScrum
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Data ScienceBachelor's degree in MathematicsBachelor's degree in Physics