MLOps engineer

Job Description:

Mars Pet Nutrition Russia is looking for MLOps who will support our sales, marketing, supply and other internal teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

What are we looking for?

• Strong knowledge of SQL, Python, ML algorithms and statistical inference
• Demonstrated experience creating production ML pipelines (training, scoring, leveraging in real-time systems)
• Experience using cloud platforms and deploying analytics in a production environment
• Experience visualizing/presenting data for stakeholders using Tableau/Power BI/ggplot/plotly/etc.
• Strong soft skills: communication skill, problem solving, drive to learn and dealing with ambiguity
• Self-starter who welcomes responsibility, along with the ability to thrive in an evolving organization and an ability to bring structure to unstructured situations
• Intermediate or higher English level (spoken and written)

What will be your key responsibilities?

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use machine learning algorithms to increase and optimize business operations efficiency, revenue generation and other business outcomes.
• Develop and apply testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Present modelling results to business audience including senior leadership teams (storytelling)
• Design, develop, refactor, package, harden, and deploy data products
• Promote the use of internally built and externally sourced tools through presentation, documentation, and cross-team collaboration
• Develop tools and automate workflows
• Translate unstructured inefficiencies and pain points into concrete business and technical requirements

What can you expect from Mars?

• Competitive salary
• Annual bonus
• Medical insurance
• 100% sick leave compensation
• Flexible working hours
• Additional paid vacation if you work more than 5 years
• Great educational program that you form by yourself