Manager, Machine Learning Engineer (Bengaluru)

Manager, Machine Learning Engineer (Bengaluru)

09 Oct
|
Autonomize AI
|
Bengaluru

09 Oct

Autonomize AI

Bengaluru

• Please note: This is a 100% onsite position located in Bangalore, India. Kindly apply only if you are willing and able to work on-site from our Bangalore office.
• Office address (Bangalore) : HM Eleganza, 31 & 31/1, Museum Rd, near Church Street, Shanthala Nagar, Ashok Nagar, Bengaluru, Karnataka 560001

About Autonomize AI

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. We're growing rapid and looking for bold, driven teammates to join us.

The Opportunity

We’re hiring an Manager, Machine Learning Engineer - Applied AI to program‑manage a portfolio of ML initiatives—from LLM/RAG workflows to clinical NLP and MLOps. You’ll create clarity in ambiguity, orchestrate cross‑functional execution, and own outcomes end‑to‑end. This role is perfect for a technical program/people leader who can go deep on the work while driving scale—a driver, not a passenger—and who thrives on aligning fast and executing faster.





Key Responsibilities

Program & Portfolio Leadership

• Own the multi‑track plan for ML projects (scoping → delivery), including timelines, dependencies, resources, and risk/RAID management.
• Run the operating rhythm: backlog/roadmap, sprint planning, stand‑ups, demos, and executive readouts with crisp status and decision logs.
• Define success criteria and measurable outcomes (quality, latency, cost, safety), then track and improve them.

Cross‑Functional Execution

• Align Product, Engineering, Clinical, and Customer teams around priorities; drive decisions and unblock fast.
• Translate ambiguous problem statements into clear problem definitions, milestones, and acceptance criteria.
• Coordinate data pipelines, annotations, experimentation, and evaluation—shipping production‑ready ML with reliability.

Technical Depth & MLOps

• Review designs/PRDs, sanity‑check experiments, and dive into no

📌 Manager, Machine Learning Engineer (Bengaluru)
🏢 Autonomize AI
📍 Bengaluru

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: manager, machine learning engineer (bengaluru) / bengaluru

Subscribe to this job alert:

Get the latest job offers by email for: manager, machine learning engineer (bengaluru) / bengaluru