AI Developer
Xensam
Stockholm (Distans) Heltid
Skicka ansökan 164 dagar kvar
Utvecklare Machine Learning Engineer
164 dagar kvar

Arbetsbeskrivning

Xensam: SAM DisruptersXensam is the leading provider of AI-powered, cloud-hosted Software Asset Management technology. We’re looking for key players to join us as we scale our impact and build the Xensam team together. We take our culture seriously and strive to maintain the excellence, energy & enthusiasm that flows through the organization today.

We look for candidates who are passionate about what they do and ready to work the Xensam way. We know that experience counts, but we also know that it’s you, the person behind the experience, that makes it count.

About the roleWe at Xensam are seeking an innovative and skilled AI Developer to join our dynamic team. This role is ideal for someone with a passion for cutting-edge machine learning and artificial intelligence technologies.

As our AI Developer, youwill be instrumental in designing, implementing, and deploying advanced AI models, with a strong focus on LLM and NLP.

ResponsibilitiesYou willdevelop and fine-tune AI models, including supervised, unsupervised, and reinforcement learning techniques. You will alsodesign and implement LLM and NLP models, employing techniques like LoRA and adapters for optimal performance. Other responsibilities that you will have:

  • Preprocess and engineer features for large-scale datasets, ensuring readiness for model training.
  • Deploy ML models to production using MLOps practices, containerization tools (e.g., Docker), and cloud platforms (e.g., AWS, Azure, GCP).
  • Utilize frameworks such as TensorFlow and PyTorch for neural network and ML model development.
  • Optimize and evaluate model performance, implementing tuning strategies to improve results.
  • Collaborate with multipleteams using Git, CI/CD pipelines, and Agile methodologies to deliver high-quality solutions.

Qualifications

  • Bachelor’s or higher degree in Computer Science, Data Science, Mathematics, or a related field.
  • Strong understanding of data structures, algorithms, and statistical methods.
  • Proficiency in Python, with experience in NN and ML frameworks like TensorFlow and PyTorch.
  • Experience in deploying machine learning models into production environments using MLOps best practices.
  • Familiarity with containerization tools (e.g., Docker) and cloud platforms (e.g., AWS, Azure, GCP).
  • Expertise in preprocessing large datasets and performing feature engineering for LLM training.
  • Experience in training and fine-tuning LLMs and NLP models.
  • Familiarity with Git, CI/CD pipelines, and effective collaboration within multidisciplinary teams, communicating technical concepts clearly.
  • Familiarity with Agile methodologies and experience working in an Agile team.
  • Strong proficiency in written and spoken English and preferably Swedish.

What you get

  • A dynamic position embracing "freedom under responsibility".
  • Three days in-office (with remote work on Mondays and Fridays).
  • Free access to beverages, snacks, gym facilities, on-site massage, shuffleboard, and other games.
  • If sales targets are met, all employees enjoy an annual destination trip.
  • Join an ambitious and diverse team, and work with cutting-edge technology in the fastest-growing SAM software on the market.
  • An opportunity to shape your career growth while contributing to the company’s success.

At Xensam, our core values define our culture:

Rebellious: We encourage a spirit of freedom and initiative within responsibility.

Humane: We foster a caring, inclusive environment that values diversity and respects individuality.

Harmonious: We promote work-life balance, creating a pleasant, supportive workplace.

Join Xensam for a balanced, collaborative, and growth-focused work environment. If you're a team player ready to thrive, APPLY now!

As part of our recruitment process, we conduct background checks on final candidates to fulfill our commitments to customers and ensure a safe work environment.

Mer info

Anställningsform Vanlig anställning
Publicerad 2024-12-27
Lön Fast månads- vecko- eller timlön
Antal platser 1
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