Machine Learning Engineer

Posted 4 Days Ago
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Poznań, Wielkopolskie, POL
Hybrid
Mid level
Fintech
The Role
Design, develop, and productionize ML and AI solutions (merchant segmentation, churn prediction, forecasting). Build data pipelines (Airflow, dbt), collaborate with engineering teams, apply LLM/NLP techniques, and present results to stakeholders within an Agile framework.
Summary Generated by Built In
As a Machine Learning Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects, specifically focusing on building AI-driven solutions for merchant segmentation, churn prediction, and comprehensive business evaluation using advanced web scraping and forecasting models.
We’re open to candidates who are ready to take ownership of complex models and drive them from concept to production.

Responsibilities:

  • Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives.
  • Design AI solution architectures that meet complex business goals and drive innovation.
  • Research, test, and select the best tools and technologies as well as AI solutions to meet business requirements.
  • Understand clients' and internal stakeholders' needs and translate business problems into data science problems.
  • Oversee the implementation of data pipelines and workflows using Airflow and dbt within Snowflake/BigQuery.
  • Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
  • Present findings and recommendations clearly and concisely to stakeholders.
  • Prioritize and control tasks within an Agile/Scrum framework, ensuring timely delivery.

What are we looking for:

  • Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM usage).
  • Proficiency in developing ML algorithms from scratch to production deployment.
  • Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
  • Proven expertise in deploying solutions in cloud environments (AWS - Fargate, EC2).
  • Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
  • Working experience in SQL and databases (Snowflake, BigQuery).
  • Good knowledge of CI/CD principles (GitLab, GitHub).
  • Familiarity with MLOps practices (MLflow) and containerization (Docker).
  • Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
  • Experience with Terraform is a nice to have.
  • High proficiency in English (C1 level).
  • Excellent communication skills and consulting experience with direct interaction with stakeholders.

What we offer:

  • Full-time employment under a contract of employment.
  • Benefits: ability to develop one’s own package in MyBenefit system.
  • Possibility to work in a hybrid model.
  • Friendly work atmosphere in a cooperation-driven team, that will support you everyday.
  • Work in an international organization operating in a rapidly changing industry.
  • Work in an international environment where you work with foreign languages on an everyday basis.

Skills Required

  • Proven commercial experience designing and implementing scalable AI/ML solutions (predictive modeling, optimization, NLP, LLM usage)
  • Ability to develop ML algorithms from prototype to production deployment
  • Strong programming skills in Python with OOP and extensive ML libraries (Scikit-Learn, PyTorch, TensorFlow)
  • Experience deploying solutions in AWS (Fargate, EC2)
  • Knowledge and applied experience with LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)
  • Working experience with SQL and data platforms (Snowflake, BigQuery)
  • Experience implementing data pipelines and workflows using Airflow and dbt
  • Familiarity with CI/CD (GitLab, GitHub) and MLOps practices (MLflow)
  • Containerization experience (Docker)
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Physics, or related field
  • Excellent communication and consulting experience; stakeholder interaction
  • High proficiency in English (C1 level)
  • Experience with Terraform
  • Ability to work in Agile/Scrum and prioritize tasks
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The Company
HQ: Gurgaon
5,000 Employees
Year Founded: 2002

What We Do

Global reach, local expertise: we combine the best of both worlds to reshape the future of payments and fintech to build a world of unlimited possibilities. We successfully bridge the global and local gap by supplying ultimate global payment coverage with extensive local expertise and support. Our vision is to create a world without financial borders where everyone can prosper. Thus, we strive to shape the payment industry of tomorrow to support global financial inclusion. As the payments and fintech business of Prosus- a global consumer internet group and one of the largest technology investors in the world- we are a leading online payment service provider operating in 50+ high-growth markets, dedicated to creating cutting-edge financial services tailored to the needs of over 450,000 merchants and millions of consumers. Focused on empowering people through financial services and creating a world without financial borders, we have set out to be one of the most prominent investors in the Fintech space, with investments totaling over $1 billion to date. We deploy more than 400 payment methods and PCI-certified platforms to process approximately 10 million payments daily. As a Fintech innovator, we develop cutting-edge technologies to ensure that merchants benefit from the highest approval rates and can optimally expand their global reach.

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