Senior AI Engineer
PT - Remote, Portugal
OutSystems
There are NO limits to your career: come shape the future and be part of a truly unique global culture at OutSystems!
About This Role
As an AI Engineer specializing in anomaly detection from logs, you will play a key role in developing and implementing cutting-edge machine-learning solutions. Working closely with cross-functional teams—including product managers, software engineers, and other bright AI engineers like you—you will design and deploy scalable anomaly detection models that enhance applications' reliability and security. Your expertise in machine learning, data analysis, and model optimization will be essential in driving innovation and ensuring the success of our anomaly detection initiatives.
Key Responsibilities
Drive technical initiatives by taking part in research, development, and deployment of advanced machine learning models for log analysis and anomaly detection.
Provide technical expertise and mentorship to junior engineers and data scientists, fostering skill development and innovation.
Stay on track with the demanding technical roadmap and be proactive and result-driven in its adjustments.
Design and optimize data pipelines for log ingestion, feature engineering, and model training, ensuring efficiency and scalability.
Evaluate and experiment with state-of-the-art ML techniques, benchmarking model performance and iterating on improvements.
Stay at the forefront of AI research, applying the latest advancements in anomaly detection and log analysis to enhance system capabilities.
Establish and enforce best practices in coding, model deployment, and quality assurance to ensure high-quality deliverables.
Qualifications
Bachelor's or master's degree in computer science, data science, or a related field.
Proven experience (4+ years) in machine learning engineering with a focus on anomaly detection, log analysis, time series analysis, etc.
Strong proficiency in programming Python along with expertise in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Solid understanding of statistical modeling, data mining techniques, and supervised/unsupervised learning algorithms.
Experience with large-scale log data analysis, including log parsing, feature extraction, and anomaly detection.
Proficiency in working with big data technologies such as Hadoop, Spark, or Elasticsearch.
Strong communication and collaboration skills, with the ability to effectively convey complex technical concepts to technical and non-technical stakeholders.
The Longer Story:
OutSystems is a global leader in transforming how companies innovate through software, empowering IT leaders with a better way to build the software that matters most. We are looking for talented and motivated people to join us in helping companies solve some of their most strategic business challenges, from modernizing their workplace processes to transforming their employee and customer experiences. As a member of the OutSystems global team, you will help build, deliver, manage, and evolve software that is a low-code market leader, and preferred by professional developers around the world.
OutSystems is a truly global company with more than 800,000 developer community members, 1,700 employees, more than 500 partners, and thousands of active customers in over 75 countries and across 21 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Portugal, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, India, and Singapore, and of course has a thriving, worldwide community of remote employees.
Working at OutSystems
We aim to ensure that OutSystems is a place for bright, happy, and motivated people who share a common purpose and take pride in excellent work towards our vision. Our culture is focused on building agility at scale, which allows us to operate with a high drive in a competitive market. In our federation of teams culture, if we have every team operating like a startup, we can all learn, grow, and innovate while having the space to be proactive and creative. We encourage our team members to collaborate, focus on results, act quickly, understand our business, and adopt a growth mindset.
What do we have to offer you?
A company that continues to grow, change, and innovate, and gives our teams the space to be proactive and creative.
Real career opportunities. We care about growth and development. Vertical career progression is an obvious possibility, but we also offer the chance for lateral moves, joining different teams, and mastering specific skills.
Work colleagues who are as smart, hardworking, and driven as you – and a global team.
Disrupting the status quo is in our DNA. It’s why our company exists.
We “Ask Why” a lot. It helps us connect our work to the bigger picture and sometimes even uncover a better way.
Are you ready for the next step in your career? Then we’d love to hear from you!
OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal-opportunity employer. All qualified applicants receive equal consideration regardless of race, place of origin, color, age, marital status, religion, sex, sexual orientation, gender expression or identity, protected veteran status, disability status, or any other status protected by law.
Join us in disrupting the status quo of the low-code market, we give you the power to "Ask Why", you give our customers the power to innovate through software!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis Data Mining Data pipelines Elasticsearch Engineering Feature engineering Hadoop Machine Learning ML models Model deployment Model training Pipelines Python PyTorch Research Scikit-learn Security Spark Statistical modeling Statistics TensorFlow Unsupervised Learning
Perks/benefits: Career development Startup environment
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