Engineering Manager In Ai/Ml

Há 1 mês


Lisboa, Portugal Smartcat Tempo inteiro

.About Smartcat Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat's vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. Despite the economic recession, Smartcat is growing at 150% YoY. Mission We seek an experienced Engineering Manager in AI/ML to join our team. Reporting directly to the Director of Engineering, you will lead a talented team of up to 10 software developers, focusing on one of the essential products in our highly successful product line. This role offers high autonomy and responsibility, effectively positioning you as a 'mini-CTO' for your product. Outcomes Manage a team of ML and Backend Engineers (3+ Engineers in the Team) Work closely with the team: lead daily calls, sprint plannings and reviews, regular 1-1s and facilitate the development experience Create and plan team tasks together with the Product Manager and be responsible for the timely delivery of ML solutions into production Regularly research new AI/ML technologies Build production-scale services as well as MVPs and quick prototypes Communicate with third-party service providers Requirements Mastery in Python, data analysis libraries, and ML frameworks (pandas, numpy, PyTorch, transformers, etc.) Expert knowledge of ML system design and architecture for scalable solutions Extensive background in Math, Statistics, Classical ML, Deep Learning, and NLP Proven experience with MLOps, deploying, and scaling ML models in production Proficiency with containerization and orchestration tools (Docker, Kubernetes) Experience fine-tuning and self-hosting open-source LLM models for various tasks (like LLaMA, Mistral, etc.) Strong experience with cloud platforms (AWS EC2, Sagemaker, S3) Experience with building solutions based on OpenAI, Claude, Gemini, and other proprietary and open-source LLMs Advanced English, both written and spoken Experience in leadership positions Personal traits Excellent communication and leadership skills Strategic and innovative thinking Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough A data-driven approach. Ability to justify decisions using concrete metrics. Will be an advantage Backend development background (Python and/or


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