Vagas de Machine Learning Engineer Generative Ai em Piedade

2 days ago Be among the first 25 applicants Direct message the job poster from Decskill Decskill was founded in 2014 as an IT Consulting Company and their main mission is to delivery value through the knowledge. We enable companies to meet the chalenges of digital world by providing our clients with

Develops and implements machine learning algorithms and models for data analysis and insight generation. Requires a degree and 2 years of experience, proficiency in Python/R, and deep learning frameworks.

Design, develop, and implement ML models and algorithms for business problems. Analyze data, evaluate model performance, and communicate findings. Requires 2+ years of experience and strong programming skills.

Develop and implement machine learning algorithms, collaborate with data scientists, and work with large datasets using programming languages like Python, Java, or R to build and optimize models. Requires a Bachelor's degree and 2 years of experience.

Seeking an experienced Machine Learning Engineer to design, implement, and improve ML models, analyze data, and collaborate on innovative solutions. Requires strong programming skills in Python, Java, or C++ and statistical knowledge.

Develops and implements machine learning algorithms and models to solve business problems, analyzes data, and collaborates with teams to deploy ML solutions.

Designs, develops, and implements machine learning algorithms and models, collaborates with teams, cleans data, engineers features, trains, evaluates, and integrates models into production systems.

Seeking a Junior Machine Learning Engineer to develop, implement, and optimize ML models using Python, R, or Java, conduct data analysis, and stay updated with ML advancements.

Develop, test, and implement machine learning algorithms to enhance products and services. This role is open to freshers with the right skills and passion.

A tech company specializing in AI solutions in Lisbon is seeking an AI Engineer to design and implement intelligent systems using Generative AI and Large Language Models. The ideal candidate will possess strong backend development skills, experience with AI solutions, and the ability to collaborate

Lead the engineering build-out of ML and agentic AI across AML/KYC and Fraud platforms, architecting MLOps and agent platforms, and developing new models and agent systems.

Design and build end-to-end machine learning systems for a customer engagement platform. Own full model lifecycle from research to production, mentoring engineers and shaping AI direction. Requires 5+ years of MLE experience with Databricks, Spark, Python/Scala, and distributed systems.

Hybrid role in Lisbon for a Machine Learning Engineer with 3+ years of experience in data pipelines, Python, PySpark, and SQL. Focus on creating data products for recommendation systems.

Develop, test, and implement machine learning algorithms for complex problems. Beginners are welcome with a strong understanding of data analysis and programming languages like Python or R.

Seeking an experienced AI/ML Engineer to design, develop, and implement end-to-end AI/ML solutions, manage ML use cases, build data pipelines, and work with Generative AI and multi-agent systems.

Remoteconnect in Funchal, Portugal, is seeking an AI Deep Learning Engineer to join our growing tech team. You will develop and implement innovative deep learning models, and apply AI techniques to our projects while collaborating with software developers. We require a Bachelor's or Master's degree

Seeking a skilled Machine Learning Engineer in Almada to develop and implement ML models, analyze data, and collaborate with teams to integrate solutions into products.

Designs and develops machine learning algorithms and models, collaborating with teams to integrate them into production systems.

Develop and implement machine learning algorithms, build data pipelines, and evaluate model performance. Requires Python/R, deep learning frameworks, and SQL.

Develops and implements machine learning models using large datasets, algorithms, and programming languages like Python. Collaborates with teams to deploy and improve ML solutions.