Data Scientist/ Machine Learning Engineer

Data Scientist/ Machine Learning Engineer

Remedy Product Studio is a rapidly scaling technology company specializing in working with and investing in prominent start-ups and brands in building and scaling their digital products. We use data-driven agile approaches coupled with high performing teams as a cornerstone of our technology-first culture. We partner with startups to strategize, execute, launch, and invest in digital products, including web apps, mobile apps, data science tools, and firmware for connected devices. We believe that people make a great company, and that's why we want you to join us!!!

We're looking for a Data Scientist / Machine Learning Engineer to help us design and scale our data and AI infrastructure. You'll work on building robust ETL pipelines, managing graph and relational databases, and developing LLM-powered features that enhance our data-driven insights.

What You Will Do:

• Design and maintain ETL pipelines using Airbyte or similar tools.
• Work with Snowflake, PostgreSQL, and Supabase for data modeling, transformation, and integration.
• Build and query graph databases with Neo4j using Cypher.
• Develop and deploy LLM-based modules and RAG pipelines using frameworks like LangChain.
• Integrate and expose data via GraphQL and REST APIs.
• Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives.

What Should Your Qualifications Be:

• Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
• Excellent SQL skills and experience with Snowflake and Postgres.
• Experience with ETL/ELT processes and tools like Airbyte.
• Knowledge of Neo4j and Cypher for graph data modeling.
• Familiarity with LLM frameworks (LangChain, RAG).
• Understanding of GraphQL and REST API integrations.
• Experience with Supabase and data visualization or BI tools.
• Experience with Vercel.

Compensation Package:

• Vacation leave of 20 working days
• Paid Medical insurance
• 4 sick days per year
• Sport compensation
• Career and professional growth
• Access to senior engineers for help and mentorship
• English classes with on-staff teachers
• English clubs where you can polish your skills together with teammates
• Paid courses and certificates to raise professional skills
• Possibility for working remote or in Warsaw office
• Macbook provided by company as a working environment
• Work environment based on collaboration and teams
• Team building events on team and group level
• Sponsored company outings and social events