All offersKrakówDataLead GenAI Engineer (Financial Data Analytics)
Lead GenAI Engineer (Financial Data Analytics)
Data
Altimetrik Poland

Lead GenAI Engineer (Financial Data Analytics)

Altimetrik Poland
Kraków
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    GenAI
    advanced
    API
    advanced
    PoC
    advanced
    MLOps
    advanced
    Python
    advanced
    AWS
    regular
    Azure
    regular
    Google Cloud
    regular
    NLP
    regular
    English
    regular

Job description

Online interview

Altimetrik Poland is a digital enablement company. In an agile way, we deliver bite-size outcomes to enterprises and startups from all industries, to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a big focus on core development, attacking challenging and complex problems of the biggest companies in the world.


We seek a highly skilled and experienced Senior GenAI Architect/Developer specialising in financial data analytics to join our team. The ideal candidate will be responsible for designing advanced analytical solutions utilising various GenAI techniques.



Your role in the project:

  • Design analytical solutions for processing and analysing financial data using various GenAI techniques. 
  • Evaluate the performance of existing solutions and models, proposing strategies for their maintenance, enhancement, or replacement with more relevant alternatives. 
  • Design system architecture, select appropriate models, and inspect available data sources for optimal performance to propose feature engineering transformations. 
  • Design interactive assistant using chatbot to facilitate access to analytical insights and provide user-friendly interfaces for stakeholders. 
  • Develop MLOPS processes for continuous model evaluation, updates, and deployment, ensuring the reliability and scalability of the solution. 
  • Disseminate knowledge of GenAI techniques, presenting the pros and cons of optional solutions, highlighting chances and challenges related to their application for given use cases. 
  • Create Proof of Concept (POC) and Minimum Viable Product (MVP) of proposed solutions to demonstrate feasibility and value. 
  • Collaborate with key stakeholders to understand their requirements and align proposed solutions with business objectives. 
  • Work closely with other data scientists, data engineers, and DevOps teams to industrialise solutions and integrate them into production environments. 



If you possess...

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field (Master's degree preferred). 
  • Comprehensive knowledge of deep learning techniques and various state-of-the-art GenAI models, as well as their principles, strengths, and limitations. 
  • Seniority level with a demonstrated track record of success in projects related to the implementation of GenAI techniques with practical experience in 
  • Discovering requirements and evaluating available data 
  • Selecting models and their evaluation in a series of PoC's 
  • Deployment of the models via APIs 
  • Monitoring and maintaining model performance 
  • Proficiency in Python programming, including extensive experience with relevant libraries and frameworks. 
  • Strong analytical and problem-solving skills. 
  • Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and work in cross-functional teams. 

Preferred Qualifications:

  • Experience designing and implementing conversational interface chatbot solutions, leveraging natural language processing (NLP) and machine learning techniques. 
  • Experience designing and implementing MLOPS processes for model evaluation, update, and deployment. 
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud 
  • Leadership experience


… then we are looking for you!


We work 100% remotely or from our hub in Wrocław.

🔥We grow fast.

🤓We learn a lot.

🤹We prefer to do things instead of just talking about them.


If you like to work in an environment that values trust and empowerment... don't hesitate, just apply!