Machine Learning Engineer

About ShiaanX

ShiaanX 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 Role We 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 Do –

Own end-to-end technical architecture across our AI and software platform –

Work directly with manufacturing operations to ensure software delivers measurable outcomes on the shop floor –

Drive the design and development of AI models for geometric reasoning, process planning, and real-time machine intelligence –

Build and maintain the data infrastructure that powers our AI systems — ingestion, labeling, training pipelines, and feedback loops –

Collaborate with external partners, job shops, and tool rooms to integrate and validate our platform in real production environments –

Define engineering roadmap in close coordination with founders and operations leadership – Integrate 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

Background –

Degree in Mechanical Engineering, Aerospace Engineering, Computer Science, or related field — IIT / NIT / BITS or equivalent – 2–3 years of 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 advantage –

Hands-on background in ML/AI systems — not just familiarity, but actual model development and deployment experience

Technical Depth –

Strong foundation in machine learning — supervised learning, reinforcement learning, geometric deep learning –

Experience with 3D geometry, computational design, or simulation environments is highly valued –

Comfortable with the full stack — data pipelines, model training, APIs, edge compute, and system integration –

Familiarity with industrial protocols, CAM systems, CNC machining workflows or real-time systems is a plus

Others –

Ability to operate in ambiguity — we are building something new and the roadmap will evolve –

Strong communication skills — able to translate between shop-floor realities and engineering abstractions –

High ownership mentality — you define the problem as much as you solve it – Comfortable working directly with manufacturing teams on the shop floor

What We Offer –

Founding-team-level equity and compensation benchmarked to top Indian deep tech startups –

Direct collaboration with founders — no layers, no committees –

Access to real manufacturing infrastructure from day one — your models run on real machines –

A problem space that is genuinely unsolved at the level we are attacking it