AI Resume Builder
JOIN NOW Post Job
Skm Group
AI

Data Scientist (Python + SciPy + Scikit-learn) [J119]

Skm Group · Remote, IE · $59k

Actively hiring Posted 5 months ago

Responsibilities

  • Development and training of transformer-based models for both text and images.
  • Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
  • Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate

Basic qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
  • Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
  • Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
  • Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
  • Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
  • Excellent problem-solving skills and ability to work independently in a fast-paced environment
  • Strong communication skills and ability to collaborate effectively with team members and external partners, fluent English
  • Attractive salary
  • Large freedom and real influence
  • No unhealthy competition, team approach to meeting challenges
  • Remote work model
  • Company apartments in cool cities across Europe: work and enjoy a memorable getaway

Benefits

  • Work from home
  • Python: 5 years (required)

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Machine Learning Deep Learning Data Science Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support