Mid Machine Learning Engineer

Accenture PLC; Lisboa; Híbrido; EUR 54 000 - 88 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Lisbon location

Resumo da oferta

Accenture Technology in Lisbon is seeking a Mid-Level Machine Learning Engineer to design, develop, and deploy ML/AI solutions that drive business value. You will work independently and with multidisciplinary teams, leveraging Foundation Models, LLMs, and cloud AI services.

The role emphasizes MLOps, data pipelines, and scalable AI applications, with a hybrid working model and mid-level seniority.

Qualificações

• 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).

Responsabilidades

• 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.

Conhecimentos

Machine Learning

Foundation Models

LLMs

Python

MLOps

Data pipelines

Cloud AI

English fluency

Descrição da oferta de emprego

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