Senior Machine Learning Engineer
hace 3 semanas
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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