3 months ago
Prague, CzechiaSenior
Responsibilities
- Design, implement, and maintain production ML and AI systems used at scale.
- Own end-to-end delivery of AI features from data pipelines and training workflows through inference and monitoring.
- Build and operate LLM workflows and supporting infrastructure for AI-powered equity research products.
- Contribute to architectural decisions, technical standards, and system design.
- Mentor peers and support the team’s technical growth.
- Solve complex technical problems with moderate ambiguity and strong business impact.
- Participate in code reviews and incident retrospectives to improve system quality and reliability.
- Identify and mitigate AI-system risks, including performance regressions, bias, and operational issues.
- Use and improve model lifecycle management, monitoring, and evaluation frameworks.
Requirements
- Bachelor’s degree in Computer Science or equivalent practical experience.
- At least 8 years of software engineering experience focused on machine learning or AI systems.
- Experience building and operating production ML systems.
- Strong proficiency in Python, TypeScript, or Java.
- Experience with LLMs, ranking or recommendation systems, search, or applied NLP.
- Understanding of modern ML techniques, including deep learning and representation learning.
- Experience contributing to system design and technical decision-making.
- Hands-on experience with neural networks such as CNNs, RNNs, Transformers, or other deep learning architectures.
- Knowledge of classical and modern NLP techniques, including tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction.
- Experience with training pipelines using TensorFlow or PyTorch.
- Experience building human-in-the-loop training or evaluation workflows.
- Genuine interest in investing, public markets, and fundamental business analysis.
Benefits
- Small-team startup environment with high ownership, fast execution, experimentation, and the backing of VERSANT.
- Direct access to experienced market professionals, including former hedge fund managers and analysts.
- Highly collaborative, low-bureaucracy environment with direct access to senior leadership and decision-makers.
- External candidates may be required to attend an in-person interview at a VERSANT Media location.
- Equal employment opportunity and reasonable accommodation support are provided.
Tech Stack
Categories
About Versant
Versant is a Milwaukee-based, privately held branding and marketing services firm that helps employers and consumer brands with strategy, research, and creative execution. Its offerings include brand development, video production, employer branding, internal communications, and recruitment marketing, delivered on a project or retainer basis. Founded in 1962, the company supports organizations seeking to clarify their brand and improve talent and customer communications.