As a Machine Learning Engineer, you will collaborate with an industry-leading team and enhance your skills in delivering groundbreaking solutions to continue driving innovation.
Role:
You will lead the development of advanced machine-learning solutions, bringing to bear our vast data assets.
You will have the opportunity to develop advanced ML Engineering solutions to streamline AI solutions, deploy a variety of algorithms in production, and set ML-Ops standards together with the Data Scientists.
You will work with diverse teams to become an architect of innovation with AI, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment.
Prerequisite & Skills Required:
- A Master’s degree qualified in a STEM subject and 2 to 5 years of experience as a Data Scientist or ML Engineer.
- An understanding that a team is greater than the sum of its parts and embraces winning together.
- Ability to work with minimal supervision.
- Proficiency in Python programming language and a deep understanding of statistical and machine learning techniques.
- Experience manipulating large datasets using SQL and Pyspark.
· Experience with “Big Data” platforms (Google Cloud, Amazon Web Services, Azure, Oracle Cloud) and engines (Apache Hadoop, Apache Kafka, Apache Spark)
- Experience delivering several production-grade machine learning products in an academic or corporate environment is crucial.
- Hands-on experience in ML Techniques, such as tree-based learners, deep learning (e.g. CNNs, RNNs, GNNs & Transformers), reinforcement learning and/or unsupervised methods.
- Exposure to cloud-based machine learning solutions
- Excellent abilities to tell a story through data and explain technical concepts to partners.
- Ability to Manage ML-Ops lifecycle (deploy-monitor-maintain-evolve)
- Knowledge of ML-Ops/DevOps technology (Docker, Kubernetes, CI/CD pipeline…)
Highly desirable skills:
- Experience in developing LLM-based applications and LLM-Ops, leveraging them to tackle business problems, is desirable.
- Exposure to Oracle Cloud Infrastructure.
- Publications in international journals are a big plus.