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Remote Data Scientist & Mlops Engineer

Nunegal Consulting
Málaga, Spain
8 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
Job source
www.buscojobs.com.es

Tech stack

Application Programming Interfaces (APIs) Python (Programming Language) Machine Learning SQL Databases Feature Engineering Apache Spark Machine Learning Operations

Job description

Nunegal Consulting busca un Data Scientist / MLOps Engineer para trabajar en un entorno tecnológico y con teletrabajo 100%.Se valorarán habilidades en ML, Feature Engineering, Python y despliegue de modelos como APIs con FastAPI.El candidato ideal tendrá experiencia en Spark y SQL, capacidad de iterar entre experimentación y producción, y un grado universitario en ciencias o ingeniería.Oferta de crecimiento profesional y formación continua.#J-*****-Ljbffr

Requirements

Se valorarán habilidades en ML, Feature Engineering, Python y despliegue de modelos como APIs con FastAPI.El candidato ideal tendrá experiencia en Spark y SQL, capacidad de iterar entre experimentación y producción, y un grado universitario en ciencias o ingeniería.

Benefits & conditions

Oferta de crecimiento profesional y formación continua.

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

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:56 min

Options for database machine learning integration architectures

Akmal Chaudhri Akmal Chaudhri · LIVE

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

Videos

See all
Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices thumbnail
29:20
World Congress 2025 • about 1 year ago

LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices

Anshul Jindal

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

DevOps for Machine Learning thumbnail
44:40
World Congress 2021 • about 5 years ago

DevOps for Machine Learning

Hauke Brammer

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
World Congress 2022 • over 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

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