Senior Machine Learning Engineer
Job Description
A.P. Moller – Maersk, the global leader in container shipping services, is seeking a Senior Machine Learning Engineer to join their team. This role presents an exciting opportunity to develop groundbreaking solutions in classical ML, NLP, and Deep Learning, aimed at revolutionizing global logistics. The position involves working closely with lead Machine Learning Engineers to spearhead the development and deployment of cutting-edge machine learning models.
The ideal candidate will possess strong expertise in machine learning algorithms and libraries, with hands-on experience in TensorFlow, Keras, or PyTorch. They should demonstrate proficiency in debugging distributed systems and maintain a commitment to code simplicity and reliability. The role requires collaboration with cross-functional teams, building and deploying predictive models, and ensuring high data quality standards.
Working at Maersk means joining a company that operates in 130 countries with approximately 80,000 employees. The company is committed to diversity and inclusion, offering an environment where different styles of thinking are embraced. This position offers significant professional growth opportunities while contributing to impactful projects that shape the future of global logistics.
The role combines technical expertise with business acumen, requiring strong communication skills to present complex concepts in accessible language. You'll be working with cutting-edge technologies including big data platforms and cloud services, while staying current with the latest developments in data science and machine learning.
Responsibilities For Senior Machine Learning Engineer
- Collaborate with cross-functional teams to understand business requirements
- Select features, build and optimize machine learning algorithms
- Build and deploy machine learning models for predictive and prescriptive analytics
- Monitor model performance and create alerts for data leakage
- Define validation framework and establish data quality criteria
- Stay updated with latest developments in data science and machine learning
Requirements For Senior Machine Learning Engineer
- Hands-on experience with machine learning algorithms and libraries (TensorFlow, Keras or PyTorch)
- Solid understanding of machine learning concepts and techniques
- Experience debugging and analyzing distributed systems
- Familiarity with git and peer review processes
- Strong communication skills
- Understanding of big data technologies (Hadoop, Spark)
- Familiarity with cloud platforms (AWS, Azure)
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