Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

7–12 yearsUNKNOWNofficeDirect Career PageEst. 30–55 LPA

Posted 5h ago

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Tier-1 brand, metro location, and broad full-stack ML skillset create moderate competition.

Background Fit Sensitivity

(Moderate)

Core ML and deployment skills are transferable, though financial-services domain knowledge moderately matters.

Shortlisting Strictness

(High)

Explicit 7-12 years plus mandatory ML, Python, React and AWS skills requires strict filtering.

Structured overview of role & requirements

Design, experiment, and deploy AI/ML models in a fast-paced environment.

Monitor and evaluate ML model performance regularly.

Work on full stack development involving ML, Python, React, and AWS integration.

7 to 12 years of work experience.

Bachelor's degree in Engineering or Computer Science.

Proficiency in Python, SQL, and ML frameworks such as Scikit-learn and PyTorch.

Not explicitly mentioned: notice period and strict location requirements.

Experienced full stack ML engineer with strong integration skills across ML, Python, React, and AWS.

Ability to apply a systematic and structured approach to problem-solving and model deployment.

Comfortable working in fast-paced environments focusing on financial services or energy sectors.