Machine Learning Engineer

About the job

About ShiaanXShiaanX is an AI driven Industrial startup building the software and physical infrastructure for the next generation of precision manufacturing. We combine AI-native engineering tools with real factory operations creating a closed loop between design intent, intelligent process planning, and the physical production of complex parts. The vision is to create a manufacturing system where a part comes in as a CAD model and the system handles everything downstream quoting, process plan generation, execution tracking, inspection, shipping with humans in the loop for exceptions only. We are in a High Mix Low Volume (HMLV) business and our Industries include advanced manufacturing sectors viz. Aerospace, Drones, Defence, Medical and Electronics. The RoleWe are looking for an Engineering Manager who will own the technical architecture and execution of our core platform from intelligent process automation to real-time factory intelligence. This is a founding-team-level role. You will shape how the system is built, who builds it, and how it evolves as we scale. You will work directly with the founders across machine learning, geometric computing, systems integration and manufacturing software. You will be expected to go deep technically while maintaining clarity on the full product vision. What You Will DoOwn end-to-end technical architecture across our AI and software platformWork directly with manufacturing operations to ensure software delivers measurable outcomes on the shop floorDrive the design and development of AI models for geometric reasoning, process planning, and real-time machine intelligenceBuild and maintain the data infrastructure that powers our AI systems ingestion, labeling, training pipelines, and feedback loopsCollaborate with external partners, job shops, and tool rooms to integrate and validate our platform in real production environmentsDefine engineering roadmap in close coordination with founders and operations leadershipIntegrate with CNC Machines and design feedback loops between machining operations, machine telemetry and inspection data to continuously improve process planning and quoting accuracy Who We Are Looking For BackgroundDegree in Computer Science, Mechanical Engineering, Aerospace Engineering, or related field IIT / NIT / BITS or equivalent23 years of AI / ML engineering experience with a strong track record in reinforcement learning, physics based AI models.Prior experience in manufacturing technology, CAD/CAM systems, industrial automation, or robotics is a significant advantageHands-on background in ML/AI systems not just familiarity, but actual model development and deployment experience Technical DepthStrong foundation in machine learning supervised learning, reinforcement learning, geometric deep learningExperience with 3D geometry, computational design, or simulation environments is highly valuedComfortable with the full stack data pipelines, model training, APIs, edge compute, and system integrationFamiliarity with industrial protocols, CAM systems, CNC machining workflows or real-time systems is a plus OthersAbility to operate in ambiguity we are building something new and the roadmap will evolveStrong communication skills able to translate between shop-floor realities and engineering abstractionsHigh ownership mentality you define the problem as much as you solve itComfortable working directly with manufacturing teams on the shop floor What We OfferFounding-team-level equity and compensation benchmarked to top Indian deep tech startupsDirect collaboration with founders no layers, no committeesAccess to real manufacturing infrastructure from day one your models run on real machinesA problem space that is genuinely unsolved at the level we are attacking it