Medior Data Scientist

NIX Tech

Standszám:

B6

NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Medior Data Scientist in its office in Budapest (Vaci Greens, 13th district). You’ll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems.

RESPONSIBILITIES:
Collaborate with the team to implement new features to support the growing data needs.
Share knowledge with other teams on various data science or project-related topics.
Be a proactive team worker.
Build, maintain, and deploy DS and ML pipelines, including data retrieval, preprocessing, feature engineering, training, and inferencing the models, analyzing and visualizing the results.
Collaborate with the team to decide on which tools and strategies to use within specific scenarios.

WILL BE A PLUS:
Work experience as a Data Scientist more than 2 years.
Good mathematical and statistical background, tensor calculus.
Python language including practical experience with Scikit-learn, Numpy, Pandas, and Matplot libraries.
At least 1 framework to build and train neural networks (TensorFlow/Keras, PyTorch), a good understanding of neural networks architectures, and how-tos.
Practical skills in building en-to-end ML training pipelines (data load, preprocess, train, inference), as well as GitHub / GitLab CI/CD flows.
English level upper intermediate +.
Good knowledge of databases such as Postgres, MongoDB, and SQL.
Experience with gradient boosting algorithms (XGBoost or LightGBM).
Commercial experience with classic machine learning and deep learning, including NLP and CV models like Bert, Resnet.
Docker or Kubernetes platform.

WHAT WE OFFER:
Experience working with AWS or Azure.
Ability to work with Spark, Airflow.

Jelentkezésedet várjuk a(z) B6 standon!

Ha szeretnéd a profilodba menteni az állást, akkor lépj be, vagy regisztrálj itt.

A rendezvény főszervezője:

2024. október 2. (szerda) 10-19 óra

2024. október 3. (csütörtök) 10-17 óra

BOK "A" Csarnok

(Budapest, Dózsa György út 1 .)

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