Machine Learning Engineer

**Senior ML Engineer (ML \+ Backend)** ABOUT US At mTransform, we build full\-stack Web3 solutions that move fast and create real impact — serving clients across industries who are building on decentralized infrastructure. We're a team that values ownership, velocity, and engineering craft. If you've thrived in a high\-growth startup and love seeing your work in production — keep reading. THE ROLE We're looking for a Senior ML Engineer who will function as a horizontal force across the organization — owning the ML infrastructure, processes, and delivery that power multiple products and teams simultaneously. You won't be embedded in one project; you'll be the connective tissue that makes every ML initiative possible. We're a lean team. When ML workload is low, you're expected to roll up your sleeves as a backend engineer — shipping features, building APIs, and keeping products moving. This is a role for someone who moves with urgency, takes full ownership, and operates at 10x — not by working more hours, but by making smarter decisions, faster. WHAT YOU'LL DO • Design and establish ML processes, standards, and best practices from the ground up — pipelines, model lifecycle, retraining strategies, and monitoring. • Serve multiple cross\-functional teams as the go\-to ML expert, translating business problems into production\-ready systems. • Architect and deploy scalable, low\-latency ML systems — from feature engineering through to real\-time inference. • Own model performance end\-to\-end: you build it, you ship it, you keep it healthy. • Contribute as a backend engineer when capacity allows — building APIs, services, and integrations that power client products. WHAT WE'RE LOOKING FOR • 4\+ years of ML engineering experience, with meaningful time at a fast\-moving startup. • Proven track record of deploying production ML systems — not just notebooks, but real, live, monitored systems. • Deep hands\-on experience with model training, optimization, and serving (Python, PyTorch/TensorFlow, Docker, Kubernetes, MLflow or similar). • Proficiency in Python, JavaScript, or TypeScript for backend development — you're comfortable building and owning APIs and services, not just model code. • Strong software engineering fundamentals — you write clean, scalable, maintainable code. • Comfortable working across multiple projects and stakeholders without losing focus or quality. • High agency — you identify what needs to be done and do it without waiting to be told. • Sense of urgency that's infectious, not stressful. NICE TO HAVE • Experience with real\-time ML systems (streaming data, Kafka, Flink). • Exposure to LLMs, RAG pipelines, or applied AI products. • Prior experience building ML platforms or internal tooling. • Familiarity with blockchain ecosystems (Ethereum, Solana, L2s) and how on\-chain data can be leveraged for ML use cases — think wallet behavior modeling, transaction anomaly detection, or DeFi pattern analysis. WHY mTransform • Work on meaningful problems across diverse industries, at the frontier of Web3\. • Autonomy to set the standard — you're not joining an existing process, you're building it. • A team that respects your craft and moves as fast as you do. If you've built things that work in the real world and want an environment that matches your ambition — we want to talk.