Principal AI/ML Scientist

Get My Parking; India; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Get My Parking in India seeks a senior ML/DS engineer to lead production-grade computer vision initiatives. You will translate business needs into ML projects and drive end-to-end delivery with a cross-functional team.

The role requires 7+ years in ML/DL, deep Python expertise, and experience deploying CV models at the edge, with strong emphasis on test-driven development and automated monitoring.

Qualifications

• 7+ years of ML/DL experience in industry.
• Hands-on with production-grade computer vision systems.
• Strong Python development and performance-minded coding.
• Advocate of test-driven development and CI/CD processes.
• Experience tweaking models for edge deployment and efficiency.
• Ability to quantify ML deployment efficacy and automate monitoring.

Responsibilities

• Translate high level business requirements into tangible ML problems.
• Proactively present proposals and updates to stakeholders with clarity.
• Supervise ongoing projects and lead a team of analysts/data engineers/data scientists.
• Communicate effectively, both verbally and in writing.
• Apply entrepreneurial mindset to build and deliver end-to-end solutions.
• Collaborate closely with engineering teams to drive solution development.
• Wear multiple hats and take ownership to meet timelines.

Skills

Machine learning

Deep learning

Python

Computer vision

MLOps

Test driven development

CI/CD

Edge deployment

Model evaluation

Model monitoring

Job description

Technical requirements

• 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