Requirements:

📍5+ years of experience in AI/ML engineering, including ownership of complex, production-grade AI solutions. 📍Strong hands-on background ideally gained in a top-tier tech company (FAANG-level or equivalent). 📍Deep understanding of ML algorithms, NLP, and/or vision models. 📍Proficiency in Python and major ML frameworks (TensorFlow, PyTorch, Scikit-learn). 📍Proven ability to design and implement scalable, production-ready ML systems. 📍Strong problem decomposition skills - ability to translate high-level concepts into deliverable workstreams. 📍Experience leading or mentoring technical teams and driving engineering excellence. 📍Ability to handle multiple initiatives simultaneously and deliver in a high-velocity environment. 📍Excellent communication skills and strong ownership mindset. 📍Very good command of English.

Responsibilities:

📍Lead the design, development, and deployment of AI/ML solutions across multiple parallel initiatives. 📍Break down complex technical problems into clear, actionable components and drive them to completion. 📍Build and optimize automation systems (e.g., customer email order processing). 📍Develop and refine conversational AI and voice agents for sales and support teams. 📍Lead vision AI initiatives, including mid-term automation projects for logistics. 📍Oversee and contribute hands-on to end-to-end ML pipelines: data ingestion, preprocessing, feature engineering, training, evaluation, and deployment. 📍Provide technical leadership to the AI team. 📍Ensure scalability, performance, and reliability of all AI models in production. 📍Prioritize effectively in a fast-paced, startup-like environment with limited resources. 📍Participate in regular brainstorming and innovation sessions, proposing new ideas and driving technical direction.

The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.