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6 days ago
Imagine a world where data fuels smarter decisions and drives innovation. A global leader in the aviation sector is redefining how they harness the power of data, leveraging cloud technologies, machine learning, and digital transformation to achieve business agility and growth at scale.
About the RoleWe are seeking an experienced Lead Machine Learning Engineer to join our vibrant and forward-thinking technology team. As a key member of this team, you will be responsible for designing and implementing cutting-edge solutions that impact millions of lives.
Key Responsibilities- Lead data-driven insights and innovation to support machine learning needs for commercial and operational projects.
- Collaborate with data scientists and data engineers to develop tools and apps that enable ML automation using AWS ecosystem.
- Design and build data pipelines to enable ML models for batch and real-time data.
- Support large-scale model training and serving pipelines in distributed and scalable environments.
- Stay aligned with the latest developments in cloud-native and ML ops/engineering and experiment with new technologies.
To be successful in this role, you will need:
- A bachelor's degree in computer science, data science, engineering, or a related discipline.
- Software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++.
- Experience in machine learning, deep learning, and natural language processing.
- Experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS, and EKS.
- Experience with Big Data technologies such as Spark, Flink, and SQL programming.
- Experience with cloud-native DevOps, CI/CD, FastAPI, or any other Python framework to create microservices.
We offer a dynamic and inclusive work environment that values diversity, well-being, and career development. Our team thrives on curiosity, collaboration, and continuous learning, shaping solutions that make a real impact.
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