This job advert was originally written in Spanish.

Requirements

What we're looking for

University degree in Computer Engineering, Telecommunications, Mathematics, Statistics, or other STEM disciplines.
Minimum of 3 years of experience in Data Scientist, Machine Learning, or related positions.
Demonstrable experience in:
- Python
- Data pipeline development
- Machine Learning and Artificial Intelligence in production
- Integration of solutions via APIs
Experience working with AWS services such as:
- SageMaker
- Bedrock
- S3
- IAM
Experience in NLP projects and the use of LLMs.
Knowledge of Prompt Engineering applied to transcription analysis and natural language-based process automation.
Experience in Snowflake:
- Data modeling
- Table creation
- Environment management
Advanced knowledge of SQL.
Experience deploying solutions in production environments.

Nice to have

Experience in multinational environments or multi-country architectures.
Experience in AWS multi-account environments.
Knowledge and experience in MLOps practices.
Experience in AIOps or AI-based operations automation.
Additional experience in Generative AI and advanced cloud ecosystems.
Participation in Machine Learning model industrialization projects.

The role

At Experis, we are looking to hire a Data Scientist / ML Engineer to participate in innovative projects related to Artificial Intelligence, Machine Learning, and advanced data processing, collaborating on the design, development, and implementation of AI solutions in production environments on AWS.

What you'll do

The main responsibilities will be:

Design, develop, and maintain business-oriented Machine Learning and Artificial Intelligence models.
Build and optimize data pipelines for model training, deployment, and monitoring.
Implement AI solutions in production environments using AWS cloud services.
Participate in Natural Language Processing (NLP) projects and transcription analysis using LLMs.
Design and optimize prompt engineering strategies for generative artificial intelligence-based use cases.
Integrate solutions via APIs with internal systems and external platforms.
Develop data ingestion, transformation, and exploitation processes on Snowflake.
Collaborate with multidisciplinary teams to ensure the scalability, traceability, and maintenance of deployed solutions.
Apply MLOps best practices for the industrialization of AI models.

How you'll work

Location: Madrid.
Hybrid model with on-site presence approximately 2 days per week at the client's site.
Split working day from Monday to Thursday.
Half-day Fridays.
Intensive schedule during the summer period.

About Experis España

Experis is a global technology services and resourcing company and the IT consulting brand of ManpowerGroup, with more than 25 years of experience in information technologies. It presents itself as a world leader in technology projects, delivering end-to-end services to enable its clients' digital transformation.

Its services span business transformation, cloud and infrastructure, SAP and enterprise applications, and IT selection and headhunting, complemented by Experis Academy training programs developed with IT companies and educational institutions. The company reports more than 50,000 consultants worldwide.

Industry: IT Recruitment
Employees: 50,000
Website: https://jobeax.com/link/SMMB7cLqToGIQpH8

In their own words

About the company & team

At Experis, we drive the development of professionals specialized in emerging technologies, participating in innovative, high-impact projects for leading companies. You will have the opportunity to work with cutting-edge technologies in Artificial Intelligence, Machine Learning, and GenAI, within a collaborative environment that fosters continuous training, professional growth, and participation in strategic technological initiatives.

All open roles at Experis España

Data Scientist / ML Engineer (AWS, GenAI & MLOps) / Hybrid Madrid / (H/X/M)

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