Machine Learning Engineer

The employee is supposed to produce highly scalable, reliable, performance optimized code to deploy and support ML projects for the CRM product.

CRM product is one of Softconstruct solutions for the betting and gambling industry, which is called to help the businesses to evolve effective communication boosting customer retention and growth. As the role of data is huge in insightful microsegmentation and the choice of marketing strategies, the employee, in collaboration with data scientists, will work on the projects like:

  • Customer churn prediction
  • VIP early detection
  • Customer addiction analysis
  • Detection of homogenous clusters of customers
  • Campaign/CJ predicted effectiveness
  • Predictive CLV calculation
  • Inter Customer recommendation (for social games)
  • etc.
Job responsibilities
  • Study and transform data science prototypes
  • Research and implement appropriate ML algorithms and tools
  • Select appropriate datasets and data representation methods
  • Develop machine learning applications according to requirements
  • Automate data preparation and model training/deployment
  • Run machine learning tests and experiments
  • Contribute to optimization of data use and storage
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field
Required qualifications
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
  • Proven experience in building and tuning ML models (2+ years)
  • Strong programing skills in python (experience in Flask or Django is a plus)
  • Solid understanding of machine learning and deep learning concepts and working experience with ML framework such as TensorFlow or PyTorch
  • Advanced math skills (linear algebra, Bayesian statistics)
  • Knowledge of linux/ubuntu
  • 1+ year working with RDBs
  • Experience working in an Agile environment

Required candidate level: Mid level 
Job Type: Full Time
Deadline: 25.02.21
Additional information

Interested candidates are encouraged to submit a CV to [email protected] email address with a note of  "Senior Node.js Engineer" in the subject line.


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