MACHINE LEARNING ENGINEER

Description

**Job Requirements** **Brief Project Description:** **What does the project entail?** Specialized technical and functional support for Artificial Intelligence and Cloud services, with the dual objective of ensuring the proper development of various projects. Development and governance of AI systems in Azure and AWS cloud environments **Is there a team involved?** Yes, one other person. **Responsibilities** The contractor shall perform the design, development, implementation, and evolutionary maintenance of the required solutions for Ineco's Artificial Intelligence projects, including: Design and development of Artificial Intelligence solutions deployed in AWS and Azure cloud environments. Development of virtual assistants and generative AI-based solutions. Design and implementation of RAG (Retrieval\-Augmented Generation) architectures, including indexing, information retrieval, evaluation, and result optimization processes. Integration and consumption of foundational models and AI services via Azure OpenAI and Amazon Bedrock using Python. Development of automations and intelligent workflows. Creation of reusable components and replicable technological assets. Definition and implementation of observability and traceability mechanisms enabling storage, querying, and auditing of logs, events, and AI system-generated responses. Design and maintenance of required data models. Design and oversight of ETL processes for data integration and exploitation. Specialized support for AI- and data-driven digital transformation initiatives. Technical and functional documentation of developed solutions, including necessary information for their operation, maintenance, and evolution by Ineco, as well as training materials for end users. **Work Experience** **Minimum and Mandatory Requirements** **Education** University degree, vocational training level 2 (FP2), or equivalent qualification in the field of computer science. **Additional Qualification 2** Valuable complementary education: Master’s degree, specialization, or certifications in Artificial Intelligence, Data Science, Cloud Computing, or related disciplines **Experience** At least 2 years of experience in designing, developing, and deploying AI solutions in AWS environments, aligned with business needs and organizational digital transformation goals **Minimum Required: 2 years** At least 2 years of experience in defining, executing, and evaluating generative AI and RAG (Retrieval\-Augmented Generation) pilots, including scalability and production deployment **Minimum Required: 2 years** At least 2 years of experience in developing and implementing virtual assistants using AWS Lambda, Bedrock, and EC2 services with Python code. **Minimum Required: 2 years** At least 1 year of experience in designing and implementing automation workflows using n8n. **Minimum Required: 1 year** At least 1 year of experience in developing conversational solutions using Microsoft Copilot Studio. **Minimum Required: 1 year** **Desirable/Additional Requirements** Experience in designing, developing, and deploying AI solutions in AWS environments, aligned with business needs and organizational digital transformation goals **Desirable: 3 years** Experience in defining, executing, and evaluating generative AI and RAG (Retrieval\-Augmented Generation) pilots, including scalability and production deployment **Desirable: 3 years** Experience in developing and implementing virtual assistants using AWS Lambda, Bedrock, and EC2 services with Python code. **Desirable: 3 years** Experience in designing and implementing automation workflows using n8n. **Desirable: 2 years** Experience in developing conversational solutions using Microsoft Copilot Studio. **Desirable: 2 years** Experience in development based on Azure Fabric **Desirable: More than 1 year**