You will design and build NLP models, train them iteratively, fit them on terabytes of data, and deploy them at scale in distributed Big Data systems. You will be expected to make domain-specific, data-driven decisions that directly impact outcomes.

Apache Spark, Apache Cassandra, HDFS, and other Big Data tools are core to this role. You don’t need instant mastery, but persistence and a proactive drive to learn are non-negotiable if you want to succeed as an ML Engineer within Veridion.

Responsibilities

• Develop new, novel algorithms and techniques for extracting and analyzing (very!) large and complex sets of data
• Gather and build appropriate training datasets to create and improve models
• Train, evaluate and deploy your models in a massive parallel environment
• Own your ML models end-to-end, from collecting training data to deployment and monitoring in production
• Optimize your ML solutions for the production environment
• Use agentic workflows to quickly iterate on ideas and solutions
• Perform statistical analysis of the real-world results of your models
• Prototype quickly to solve thorny use cases, without getting stuck in theory, as we're prone to shipping early and often
• Write well-designed, testable, efficient code
• Handle open source LLMs for data improvement, training and real time agentic workflows

Qualifications

• Previous experience creating datasets, training and optimally deploying your models
• Proficiency with Python, as well as MySQL or any relational database
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling and software architecture
• Knowledge of math and statistical concepts and techniques
• Previous experience with an NLP framework (Transformers, Spacy) and ML framework (PyTorch, Sklearn, Tensorflow) would be a plus

What's in it for you

• Pioneering work at the forefront of Big Data, Infrastructure and Machine Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onwards
• The chance to shape an original product in a fast growing company, backed by VC investors
• A merit-based, no BS, value-oriented and particularly collaborative work environment
• Fair compensation, ESOP and upward salary growth based on performance.
• Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are
• The promise to use the right tool for the job to be able to channel your efforts on what can’t be compensated for: the best use of your skills and abilities.
• The space to try new things out (your way) paired with the freedom to make reasoned decisions and fully own them

What we expect from you in return

• High speed and uncompromising quality in your work
• A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities
• An appetite to grapple with a variety of technical challenges
• The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios
• Consistent performance over time coordinated with a matching set of values
• Strong problem solving skills that enhance the way you deal with the tension between brief and shipping
• Aversion to the idea of any customer or colleague struggling with what you delivered
• High tolerance for ambiguity, marked by your ambition to push forward with incomplete information
• Resilience, especially in front of failure, that is always paired with pioneering work

Recruitment process

• A home assignment
• 2 discussions, one of which is face to face and includes a live task

We need people who are zealous about revolutionary technology, highly collaborative work and raising the bar on our product as it is unfolding. If you're excited about our mission, but don't yet meet 100% of the qualifications above, we still encourage you to apply.