Mid Machine Learning Engineer

Accenture Technology

powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.

We are seeking a highly qualified professional to join our team as a

Mid Machine Learning Engineer . As an essential part of our team, you will be responsible for designing, developing, and deploying Machine Learning and Artificial Intelligence solutions that drive business value and support strategic decision-making. We are looking for a professional with strong expertise in Machine Learning, Foundation Models, and modern AI technologies, capable of working independently and contributing to complex technical challenges.

Qualifications

Minimum of 3 years of experience in

Machine Learning model development, deployment, and optimization

Expertise in applying

Machine Learning techniques

to solve complex business problems

Experience with

SQL and database management

concepts

Knowledge of

Foundation Models and Large Language Models

(LLMs)

Experience with

LLM Orchestration frameworks

and AI application development

Hands-on experience with

Python and Machine Learning libraries

Understanding of MLOps, model deployment, and production monitoring

Experience working with large-scale datasets and data preprocessing techniques

Knowledge of

cloud-based AI and Machine Learning services

Ability to work independently while collaborating effectively with multidisciplinary teams

Fluent in

English (C1 or above)

Responsibilities

Design, develop, and implement Machine Learning and Artificial Intelligence solutions that generate measurable business outcomes

Build, train, evaluate, and optimize predictive models and AI-driven applications

Leverage cloud-based AI services to accelerate solution development and deployment

Develop scalable data pipelines to support model training, inference, and production environments

Apply DevOps and MLOps principles to automate model deployment, monitoring, and lifecycle management

Customize and implement Foundation Models, LLMs, and Generative AI solutions according to business requirements

Evaluate the performance, quality, and business value of AI solutions and provide recommendations for continuous improvement

Conduct research into emerging AI technologies, algorithms, and methodologies

Analyze large datasets to identify patterns, trends, and opportunities to improve model accuracy and effectiveness

Implement efficient data storage, retrieval, and knowledge management mechanisms

Collaborate with Data Engineers, Data Scientists, Product Owners, and business stakeholders to deliver scalable AI solutions

Communicate technical findings and recommendations clearly to both technical and non-technical audiences

Contribute to technical discussions and provide innovative solutions to complex challenges

Location:

Lisbon

Working Model:

Hybrid

Seniority:

Mid-Level

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