The UKEESS Software House team is looking for Senior Python Engineer To join our team for a full-time position (remotely in Ukraine or in the Lviv office).

If you are looking for an opportunity to switch machine learning techniques, this is the opportunity for you. We’ll walk you through your journey from Python development to machine learning engineering.

About the client and the project:

Our client is the world’s largest DNA network from the USA. This represents a unique opportunity to work with more than 30 billion digitized global historical records, 100 million family trees, and more than 18 million people in their growing database. Our clients help people discover their family stories and gain actionable insights about their health and wellness.

About the team:

You will be part of the Data Science team, which produces the search index for all website images (content). We use computer vision and NLP models to retrieve names, dates, and relationships from various sources, such as the census, birth certificates, and newspaper articles.

One team delivers its models to our team as Python packages through the model repository. We build and run data pipelines in AWS, using Terraform and Python to retrieve images, process them through models, and return the extracted data as JSON messages. Our typical projects process millions of images per day. We focus on productivity, cost and error handling.

Having gained new knowledge, You will be responsible for learning our deployment pattern and taking ownership of building and running several new pipelines.

Responsibilities will include:

• Develop and improve back-end services and scalable APIs using Python
• Develop secure, high-performance microservices and data pipelines
• Collaborate with engineering, product, and business teams to understand requirements and deliver impactful machine learning solutions

After obtaining the mandatory knowledge:

• Perform data analysis and preprocessing using frameworks such as PyTorch, TensorFlow, and Keras
• Maintain and improve MLOps workflow, including model release, monitoring and retraining
• Design, implement and deploy machine learning models and algorithms throughout their lifecycle – from development to production
• Optimize models for efficiency, scalability, and real-time inference in production environments
• Stay up to date with the latest developments in machine learning and artificial intelligence technologies.

requirements:

• 5+ years of Python development experience
• 3+ years of experience with AWS (including EC2, SQS, SNS, S3, and Lambda)
• Commercial experience with Terraform
• Strong knowledge and business experience with SQL and NoSQL databases
• Experience with CI/CD practices and tools (e.g. Jenkins, Git)
• English: at least above intermediate (spoken and written)

It will be redundant:

• Knowledge or experience with ML
• Experience in customer-facing operations, including monitoring, cost analysis, and troubleshooting production issues
• Experience with frameworks such as PyTorch, TensorFlow or Keras
• Knowledge of containerization and orchestration tools (e.g. Docker, Kubernetes)
• Bachelor’s degree in a related field or equivalent experience

What do we offer our new colleague?

• Competitive compensation (based on market data, but also depending on the candidate’s technical level)
• Flexible work schedule
• 3 healthy packs to choose from
• Paid annual leave and public holiday celebration
• Free English lessons (online)
• Individual approach to professional growth
• – Absence of bureaucracy and micro-management
• Modern and comfortable office facilities (BBQ area, kitchens, living rooms, coffee machines, etc.)
• Foreign business trips (post-war)
• On-site parking and charging station for electric vehicles
• Corporate gifts, celebrations and entertainment activities
• Sports activities: table tennis, football, exercise

Let’s say you have a passion for solving difficult problems, building robust and scalable systems, love working with cutting-edge technologies in a fast-paced, agile environment, and are excited by the prospect of making a significant impact on products with over 3 million paid subscribers.

In that case, we want to talk to you! 😉