Lead / Senior Machine Learning Engineer

Added: 04/12/2020

REF: 6844

Contract: Permanent

Location: Dublin, Ireland

Senior / Lead Machine Learning Engineer

My client is a Tech Scale-Up company with just over 100 employees and Series B funding. Data is at the core of what they do and they are looking to hire a Senior / Lead Machine Learning Engineer who would like to join their high performing team. The company values flexible working and a distributed workforce to help them solve complex problems in the financial world. The team is still at an early stage, meaning you’ll have the opportunity to influence our foundation and attack problems from first principles.


Responsibilities:
  • Working first-hand with alternative data sources to solve complex problems around classification and discovery
  • Developing and scaling models for classification, clustering and anomaly detection
  • Integrating statistical and machine learning models into production data products
  • Defining and expanding use cases for our machine learning platform
  • Shaping the data science function and contribute to company strategy to deliver significant impact to the business

Requirements:
  • 3-5 years practical experience developing and productizing machine learning systems
  • Solid grasp and enthusiasm for machine learning, theory and practice
  • Passion for best practices in high quality software development
  • Expert in Python 
  • Familiarity with functional typed languages desirable, such as Scala or Haskell is a bonus
  • Strong theoretical knowledge of state-of-the-art machine learning methods in at least one domain (e.g. NLP, anomaly detection, time series, information retrieval), and a general interest in methods in other domains
  • Experience connecting experimental design to product development with real-world data
  • Proficiency in large scale data processing methods and architectures
  • Preferable experience with cloud platforms such as GCP or AWS

Benefits
? Flexible working arrangements
? Training and development
? Competitive salary
? Flexible and generous time off
? Health insurance for you and your family
? Retirement benefits
? Commuter support
? Gym subsidy

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