Machine Learning Engineer @ Chubb

Πλήρης απασχόληση Γεμάτη μέρα
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Machine Learning Engineer @ Chubb

Θεσσαλονίκη, Θεσσαλονίκη , ΕΛΛΑΔΑ

1 day ago

Πλήρης Απασχόληση

Μεσαία Εμπειρία


Βασικές Πληροφορίες

Deloitte in collaboration with Chubb insurance, the world’s largest publicly traded property & casualty insurance company, are currently looking for a ML Engineer to join our dynamic and highly motivated Technology team in Thessaloniki. As a Machine Learning Engineer, you will have the opportunity to work directly with Chubb on innovative international projects.


As a Machine Learning (ML) Engineer you will be working closely with other experienced Data Scientists, Product Manager and Data Engineers and you will be responsible for developing and delivering AI/ML models into production. You should have superb MLOps experience, good ML model and algorithms developing, training, tuning and optimizing skills to be able to work with business and technology leaders to build AI/ML systems to support the needs. This role requires an individual with strong MLOps, AI computer vision, NLP, semantic analysis and time-series predication skills. It also requires some cloud engineering skills and experience implementing complex real-time data and AI/ML applications to capture and codify knowledge and automate decisions. The successful candidate will be a proven AI/ML engineer who is comfortable with ambiguity, attention to detail, and thrives in a fast-paced environment.
You will commit to personal learning and development by actively seeking opportunities for growth, you will share knowledge and experience with others.

To fulfill this role, you will have to be able to:
  • Deliver AI/ML models to production following high standard MLOps process.
  • Develop AI/ML models for business teams along with metrics to track their accuracy and performance.
  • Own the full lifecycle of AI development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production.
  • Evaluating ML algorithms that could be used to solve a given problem and ranking them by their success probability.
  • Develop ML/AI models to support data collection/ingestion/migration work.
  • Modern hybrid workplace, characterized by flexibility and Smart Working
  • Empowered well-being: We provide multiple program offerings to support your well-being needs (flexible working arrangements, extra days of leave, parental allowances)
  • Engagement within international large-scale teams and projects, with opportunities to travel for training or client purposes.
  • Constant opportunities for learning with unlimited access to internal and external learning platforms and sponsored certificates aligned with business needs and technology trends
  • Challenging and innovating environment where personal development and growth are encouraged, always with transparency and trust
  • Diverse culture and active communities that enable you to bring yourself to work
  • Team Building and Corporate Social Responsibility Activities
  • Private medical health insurance plan
  • Ticket restaurant card
  • Exclusive Discounts to several retail providers, restaurants, and others
  • Fresh fruits and unlimited coffee every day at our offices
Απαραίτητα Προσόντα

To be successful in this role, you will need to demonstrate the following:
  • Proven experience as a Machine Learning Engineer or similar role
  • Deep knowledge of math, probability, statistics and algorithms
  • Bachelor\'s Degree with over 3 years MLOps experience, Master Degree or Ph.D. in Mathematics, Data Analytics, Statistics, Computer Science, Electrical Engineering, Physics, Economics, Bioengineering or another quantitative field preferred.
  • Experience working on cloud platforms such as Azure
  • Deep expertise in Python for ML, writing Pythonic code and related aspects of software design and implementation.
  • Proficiency with machine learning libraries for Python (FastAPI, FlaskAPI, scikit-learn, Pandas, SciPy, NumPy, etc).
  • Strong understanding of machine learning techniques and algorithms, such as GLM, k-NN, Naive Bayes, SVM, Random Forest, Gradient Boosting, etc.
  • Expertise in natural language processing, such as topic modelling, entity extraction, etc.
  • Proficiency with a deep learning framework such as TensorFlow, PyTorch, CNTK, etc.
  • Flexibility, willingness to travel
  • Fluency in English
Επιθυμητά Προσόντα

Additional skills required:
  • Familiarity with working with k8s
  • Experience working in parallel, distributed systems with technologies such as Spark / PySpark, etc.
  • Familiarity with insurance industry business processes
  • Confident in decision making and the ability to explain processes or choices as needed
  • Strong motivation
  • Excellent communication and interpersonal skills

Πώς να εφαρμόσει

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