Xenon7 is a leading provider of AI-driven solutions for businesses. We specialize in leveraging data and artificial intelligence to drive innovation, optimize operations, and enhance customer experiences. Our client is a leading provider of secure, scalable, and intuitive biomedical data analysis software and bioinformatics applications for the life sciences and healthcare communities. The goal is to innovate the product by leveraging Machine Learning and more specifically GenAI, LAM, LLM.
Who We’re Looking For
- You are an experienced Machine Learning Engineer who is passionate about creating and delivering cutting-edge enterprise-class AI-powered solutions.
- You have designed and released into production, multiple ML-based solutions that solve real business problems using technologies such as deep learning, machine learning or generative AI.
- You can work autonomously without a lot of supervision, think independently and dream up practical, out-of-the-box ideas.
- This is a key position in Engineering. You and your team will provide AI thought leadership not just within Engineering, but more broadly across the company.
Responsibilities
- Design, build and productionalize robust, high-performing ML, LLM and other AI solutions per the roadmap, and integrate them into our existing product suites.
- Build the supporting services to operationalize and automate your solution including unit and integration tests, CI/CD tooling, monitoring capabilities and data pipelines.
- Collaborate closely with other Engineering teams, Product Mgmt and our CTO to shape our AI roadmap and build exciting new solutions for our customers.
- Stay current with the latest developments in AI and evangelize them within the company.
- You will be part of a small team being set up from scratch, focused on building industry-leading AI capabilities for our suite of products.
The role is remote with preference to EMEA region.
Requirements
- 5+ years of software product development experience. At least 3 years of deep, intensive ML experience in a product setting, rather than in a research-oriented environment.
- A strong technical foundation with a Computer Science background, ideally with a Masters degree specializing in AI.
- You are fluent in Python and the Data Science stack
- You have experience with ML technologies and frameworks and extensive experience with at least a couple of the following: Pytorch, Tensorflow/Keras, scikit, large-scale data processing technologies (SQL, data warehouses, Spark or HDFS).
- You have Generative AI experience deploying LLMs, RAG pipelines and agents eg. GPT4, LangChain, LLama2, Mixtral or similar technologies.
- You are comfortable designing and implementing the end-to-end ML workflow to deploy your ML models to production, and monitoring them post-production. This might include writing data pipelines and other Data Engineering or ML Ops tasks.
- Are extremely customer-focused. You have built products that have moved the needle for your customers.
- Working in a distributed, remote-first environment with asynchronous communication comes naturally to you.
- Familiarity with Javascript and node.js would be an advantage but not essential.
- Experience with designing and building scalable distributed systems; familiarity with AWS (or Azure / GCP) would be an advantage
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