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Addepto
Addepto

Senior Data Scientist / Tech Lead

19 320 - 28 560 PLN(znormalizowane)
Doświadczenie

Senior

Lokalizacja
Tryb pracy

Zdalnie

Wymiar

Full-time

AIML algorithmsML librariesLLMsSQLNoSQLCI/CDPythonCloudMLOpsDockerKubernetesAI Agents

O ofercie

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for large enterprises and startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. The company focuses exclusively on Artificial Intelligence and Big Data, helping organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. Addepto is part of KMS Technology, a US-based global technology group, combining deep AI specialization with enterprise-scale delivery capabilities. The company has developed its own product, ContextClue, and contributes open-source solutions to the AI community. Forbes recognized Addepto as one of the top 10 AI consulting companies worldwide.

Wymagania

  • 6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI).
  • Experience in Machine Learning project leadership and team mentoring.
  • Proficiency in developing ML algorithms from scratch to production deployment.
  • Strong programming skills in Python, including clean code, OOP design, and 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 client interaction.
  • 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 related field.
  • Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
  • Leadership and mentoring experience is highly desirable.

Obowiązki

  • 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 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.

Benefity

  • Work in a supportive team of AI & Big Data enthusiasts.
  • Engage with top-tier global enterprises and startups on international projects.
  • Flexible work arrangements: remote or from modern offices and coworking spaces.
  • Professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including partnership with Databricks.
  • Choice of cooperation form: B2B or contract of mandate with 20 fully paid days off.
  • Participation in team-building events and integration budget.
  • Celebration of work anniversaries, birthdays, and milestones.
  • Access to medical and sports packages, eye care, and well-being support services including psychotherapy and coaching.
  • Full work equipment including laptop and necessary devices.
  • Support for personal brand building through speaking at conferences, blogging, and meetups.
  • Smooth onboarding with a dedicated buddy and supportive culture.