Middle+ Machine Learning Engineer

About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 300 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.

Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.

Our values:

• Deliver what matters
• Respect and support others
• Initiate and own
• Voiceopenly
• Execute with quality

If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com.

Responsibilities:
 

• Work on subscription/ads/in-app LTV prediction services
• Ensure efficiency, reliability, explainability and observability in ML pipelines
• Build and maintain ETL workflows, querying large tables
• Detect anomalies, data drifts, prediction shifts; partner with User Acquisition managers on investigations
• Collaborate with data engineers on data quality issues detection
• Participate in generative AI projects
   

Requirements:
 

• Hands-on with Machine Learning modelling, good understanding of ML fundamentals
• Proficiency in Python software engineering (parallel/asynchronous computing, unit-testing, CI/CD, etc.)
• Solid grounding in statistics and experimental design
• Advanced SQL, comfort working with large datasets
• Experience with ETL workflows and scheduling pipelines (e.g. Airflow)
   

Would be a plus:
 

• Familiarity with BI tools (Tableau, Power BI, Looker) for data visualisation
• Familiarity with MLOps tools, Databricks platform
• Experience building REST APIs and working with real-time streaming data
• Recommendation systems, NLP/LLMs or other generative AI experience
• Subscription-based product data familiarity
   

Personal qualities:
 

• Proactive and independent — ready to take ownership of projects, drive initiatives, explore new tools and make data-driven decisions without constant supervision
• Excellent communication skills — able to clearly convey tech insights to non-technical stakeholders
• Team-oriented — sharing knowledge, open in communication, active during brainstorming, easy-going
• Business-oriented thinking — interest of how your work impact decisions and product profits
   

Mastery of the following technologies/tools the team uses:

• Python
• Pandas
• SQL
• AWS (Redshift, S3, EC2, RDS)
• LightGBM
• Tableau
• Airflow
• Docker
• LangChain
   

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
• Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace.
• Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday.
• Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
• 100% Sick Leave Compensation
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, and therapy costs.
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.