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Senior Data Scientist / Ml Engineer For Telecom Anomalies

Convotis Iberia
Alicante (Alacant), Spain
3 days ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Job source
www.buscojobs.com.es

Tech stack

Real Time Data Machine Learning Operations Databricks

Job description

CONVOTIS Iberia busca un/a Data Scientist / ML Engineer para diseñar y evolucionar soluciones de detección de anomalías en redes de telecomunicaciones, trabajando con grandes volúmenes de datos en Databricks y AWS.Se valorará experiencia en pipelines de datos en tiempo real, MLOps, plataformas cloud, y colaboración con equipos de producto/ingeniería.Residencia en España y nivel de inglés B2 o superior son requisitos.Ofrecemos desarrollo profesional y entorno internacional.#J-*****-Ljbffr

Requirements

Residencia en España y nivel de inglés B2 o superior son requisitos.

Benefits & conditions

Ofrecemos desarrollo profesional y entorno internacional.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:25 min

Optimizing agricultural practices through automated machine learning operations

Simi Olabisi · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:36 min

Modern application stacks and real-time data requirements

Tim Faulkes · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all
Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base thumbnail
22:06
LIVE • about 6 years ago

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base

Lukas Kölbl

Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45
World Congress 2021 • about 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • about 1 month ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • about 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Data Science in Retail thumbnail
58:21
LIVE • about 3 years ago

Data Science in Retail

Julian Joseph

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