Senior Software Engineer – Data Analytics, AI
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Job Description
Senior data scientist at Keeper Solutions applying data science and machine learning skills to build data infrastructure and ML pipelines in Croatia remote.
Responsibilities:
- Building and overseeing the development of an Agentic LLM architecture within a complex Enterprise environment.
- Building, deploying, and maintaining ML pipelines, models & ML applications.
- Conducting data exploration, designing, building, and maintaining scalable data pipelines (batch and/or streaming) and data infrastructure to enable fast / near real-time analytics.
- Working together with UI/UX designer and the project team to build and deliver intuitive Consumer UX centric applications, including LLM clients.
- Delivering documentation and/or training on LLM channels, Agentic and Analytics-related topics.
Requirements:
- Expert level of Python, JS or Java technologies (including Spring framework).
- Experience in ML algorithm development, including predictive AI, data clustering and generative AI.
- LLM architectures; Multi-agent pipelines, MCP integrations, Evaluation frameworks and analytics.
- Proficient level at schema design, data modelling and SQL.
- Familiar with ETL concepts and tools for both manual and Low-Code ETL and pipeline development.
- Experience with streaming and batch data processing.
- Excellent problem-solving, structured thinking and analytical skills.
- Attention to detail and effective verbal/written communication skills.
- Ability to learn and spike/research new technologies rapidly.
- Knowledge of Generative UI and/or multi-modal LLM clients, including real-time voice is nice to have.
- Good understanding of Apache Spark architecture.
- Good knowledge of Big Data file formats (Avro, Parquet, etc.).
- Understanding of the Communication service provider (CSP) vertical and enterprise landscape.
Benefits:
- Competitive salary that rewards performance and drives innovation.
- Keeper Tokens allocated each month to recognize and reward employees.
- Annual health check for some locations – we want to make sure that you’re fit and healthy and that you are given the support you need to stay that way.
- Remote work, flexibility, and balance – we offer remote opportunities and other benefits designed to support healthy work/life balance and growing families.
- Learning and development – identify areas for development and we’ll provide time and access to training materials.
- Internal R&D projects available to help develop leading-edge skills in areas such as AI, big data, and blockchain.
- Career path planning – team members are encouraged to discuss their career plans based on their ambitions. We provide the training and support to help them along the way.
- Culture and connection – people are at the very heart of what we do. Our leadership teams bring a wealth of knowledge and experience, particularly in helping blue-chip companies grow and scale internationally.
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