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Machine Learning Engineer
Lisbon
Job No. r00234401
Full-time - Hybrid
Descrição
Accenture Technology
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses.
Requisitos
We are seeking a highly skilled and experienced Machine Learning Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models to solve complex business problems. You will work closely with data scientists, software engineers, and product teams to implement scalable and efficient ML solutions.
Responsibilities
Design and develop data pipelines for efficient data generation, collection, and processing.
Ensure data quality and implement ETL processes to migrate and deploy data across systems.
Utilize advanced Machine Learning skills to create effective data solutions.
Optimize and improve existing ML models for accuracy, performance, and scalability.
Implement and maintain end-to-end ML pipelines, including data ingestion, model training, evaluation, and deployment.
Document model architecture, training procedures, and deployment strategies.
Ensure ML models comply with ethical AI practices and responsible AI guidelines.
Perform independently, become a subject matter expert, actively participate in team discussions, and contribute to providing solutions to work-related problems.
Requirements
More than 3 years of professional experience.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Proficiency in programming languages such as Python, R, and SQL.
Experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.
Experience with cloud platforms like AWS, GCP, or Azure for deploying ML models.
Strong problem-solving skills and ability to work in a fast-paced environment.
Excellent communication skills and ability to collaborate across teams.
Available to work in a hybrid work model.
