AI/ML Engineer — Hybrid Data Analytics Innovator

Ytech; Salamanca; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Career growth opportunities

Knowledge sharing environment

Job summary

Ytech is seeking a Data Analytics / Machine Learning / AI Specialist to join a challenging project in the Data & Artificial Intelligence field. The role focuses on developing and implementing analytics, ML and AI solutions with direct impact on business and financial operations.

The candidate will collaborate with stakeholders across the full lifecycle, translate requirements into technical solutions, and drive production deployments in a hybrid model. English fluency is required.

Qualifications

• At least 5 years of experience in Data Analytics, ML or AI.
• Experience with data projects in FP&A or Asset Portfolio Management is a plus.
• Advanced SQL and data analytics knowledge.
• Familiarity with Snowflake Cortex AI and Databricks ML is valued.
• Knowledge of Git, CI/CD, and multi-branch development is desired.

Responsibilities

• Collaborate with business stakeholders across the full lifecycle of Data Analytics, ML and AI solutions.
• Translate business requirements into technical solutions aligned with objectives.
• Develop and deploy ML models, AI Agents and automation processes.
• Design, develop, implement and validate Analytics, ML and AI solutions.
• Support SIT and production deployments; resolve AI/ML production incidents.

Skills

Teamwork

Results-driven

Agile experience

Communication skills

Analytical skills

English fluency

Tools

SQL

Snowflake Cortex AI

dbt

Databricks ML

Git

CI/CD

Job description

Ytech is seeking a Data Analytics / Machine Learning / AI Specialist to join a challenging project in the Data & Artificial Intelligence field. The role focuses on developing and implementing analytics, ML and AI solutions with direct impact on business and financial operations.

The candidate will collaborate with stakeholders across the full lifecycle, translate requirements into technical solutions, and drive production deployments in a hybrid model. English fluency is required.