We are looking for perspective and ambitious Senior Data Science Engineer to join our team.
Client and Project Overview:
Our customer is the pioneer of drag-and-drop AI email personalization: Spotify-style personalization that automatically curates email content for each individual consumer. With our customer’s platform marketers benefit from the power of artificial intelligence as it analyses consumer behaviour, aggregates thousands of unique predictive attributes on millions of customers in real-time, and maps those attributes to structured actionable data, building a comprehensive, holistic view of each customer.
This personalisation platform learns and adapts to each customer's unique preferences via semantic attributes, taking the consumer experience to the next level and engaging every individual with unique and relevant experiences at scale.
Must Have:
- Develop and Deploy Python based Machine Learning models as RESTful services
- Identifying, Profiling, and understanding bottlenecks and performance issues at every stage of the recommendations pipeline from ETL to Inference
- Good understanding of AWS and hands-on experience deploying models as state-less or stateful architectures
- Experience deploying, configuring, and scaling Python applications on cloud and on containers
- Practical experience with using multiple data sources in the SQL (using SQL-Alchemy and native drivers) and No-SQL world
- Practical knowledge of NLP in Python (nltk, spacy, genism, open-nlp, stanford-core-nlp etc.)
- Hands on experience with Deep Learning algorithms for NLP (RNN/LSTM/GRU/ESN, Seq2Seq etc)
- Hands on practice of ML using machine learning libraries and frameworks such as scikit-learn, XGBoost, Pytorch and Tensorflow
- Coordinating with Software Engineers to help package these workflows into a standardized library that enables fast and easy deployment of recommender systems
Good to have:
- Testing and DevOps of Python code, and usage of python based linting and coverage analysis frameworks and build-automation pipelines
- Practical experience of orchestration and cloud native orchestrations like Docker and Kubernetes
- Hands-on with building Python based Machine Learning application using Spark
- Providing expertise regarding the deployment of RecSys models in production
- Working with HPC Engineers to identify and fix bottlenecks in GPU-based RecSys workflows
- Experience working with ontologies and/ or Symantec web
- Experience working with graphical models like linked chain conditional random fields (CRF)
- Practical experience customizing and working with python based open source self-service analytics/ visualization tools like Apache Supersets or others
We offer:
- Competitive salary and compensation package
- Possibility to join a team of professionals with 10+ years of experience
- Interesting project
- Challenging tasks
- Possibility to take part in creating and designing hardware and firmware from the scratch
- Flexible work schedule
- 18 business days of payable annual free-time
- 10 days of paid sick leave
- Gym, Masseur, and Doctor
- An inspiring and comfy office
- Regular office fruit delivery
Professional growing:
- Challenging tasks and projects
- An individual development plan
- A personal education budget
- A regular performance appraisal
- Mentorship opportunities
- Business trips
Fun:
- Corporate events and outstanding parties
- Exciting team buildings
- Memorable anniversary presents
- A fun zone where you can play video games, foosball, ping pong, and more
