Principal AI/ML Engineer — Computer Vision Specialist (Bengaluru, IN)

Parking Network BV; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Parking Network BV in Bengaluru is seeking an experienced Senior ML/Deep Learning Engineer to own end-to-end model development and deployment. You will design, train, and optimize computer vision models that run reliably in production and at the edge.

The role demands deep Python expertise, strong software craftsmanship, and a hands-on approach to testing, CI, and monitoring. You will lead a small team of analysts and data scientists to deliver impactful solutions.

Qualifications

• 7+ years of experience in ML/Deep Learning.
• Hands-on experience with training and lifecycle of production-grade CV models.
• Strong Python software development with performance focus.
• Advocate of test driven development and CI.
• Willingness to optimize models for edge deployment and automate monitoring.

Responsibilities

• Translate high level business requirements into tangible ML problems.
• Proactively present proposals, updates and findings to stakeholders.
• Supervise delivery of ongoing projects and lead a team of analysts/data engineers/data scientists.
• Good verbal and written communication.
• Collaborate with engineering teams to drive solution development.
• Own multiple hats to meet business objectives within deadlines.

Skills

7+ years ML/Deep Learning experience

Production-grade CV models lifecycle

Python software development

Test driven development and CI

Model tuning and edge deployment

ML model monitoring and automation

Tools

Python

Job description

• 7+ years of relevant experience with machine learning and deep learning.
• Hands-on experience with training and managing the life-cycle of production-grade computer vision models.
• Very strong and deep experience with software development in python. Must understand how to write performant and architecturally sound python code.
• Must be an enthusiastic adopter of test driven development and continuous integration so that whatever is deployed is rock-solid from the start.
• Must be ready to dig into the details of model tweaking and tuning to get the best performance out of them. Must also be ready to build models that can run efficiently on the edge.
• Must be experienced in quanitfying the efficacy of machine learning deployments and in automating their monitoring.

Functional requirements

• Must be able to translate high level business requirements to tangible problem statements.
• Must be proactive in presenting proposals, project updates and findings to relevant stakeholders in an effective and compelling manner.
• Supervise delivery of ongoing projects, build and lead a team of analysts/data engineers/data scientists to continuously grow this function.
• Good verbal and written communication.
• Entrepreneurial mindset of creating and delivering solutions from scratch (thinker as well as doer).
• Collaborative mindset to work closely with engineering teams and drive solution development.
• You will have to wear multiple hats and exhibit strong ownership skills to meet business objectives within agreed timelines