- 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.
- 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.
- 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
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Lead GenAI Engineer Financial Data Analytics - Wrocław, Polska - Altimetrik Poland
2 tygodnie temu
Opis
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:
If you possess
Preferred Qualifications:
... 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