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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

1–2 yearsofficeDirect Career PageEst. 4.5–8 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Popular junior ML/Python role with broad requirements leads to medium competition.

Background Fit Sensitivity

(Low)

Python and ML skills are broadly transferable across industries, indicating low background sensitivity.

Shortlisting Strictness

(High)

Explicit 1–2 years plus required ML/Python frameworks, cloud, and DevOps skills increases shortlisting strictness.

Estimated fit based on your resume

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Structured overview of role & requirements

Develop and maintain Python-based AI/ML applications, applying concepts in real projects.

Implement and integrate RESTful APIs and microservices using frameworks like Django, Flask, or FastAPI.

Work with databases, version control, and cloud platforms to support scalable AI/ML solutions.

1–2 years of hands-on experience in Python AI/ML development.

Proficient in core Python concepts, data structures, and algorithms.

Experience with Django, Flask, or FastAPI frameworks.

Familiarity with RESTful APIs, microservices, databases (MySQL, PostgreSQL, NoSQL), Git, and cloud platforms (AWS, Azure, or GCP).

Has practical experience developing AI/ML projects in Python within international or global environments.

Comfortable with containerization (Docker) and understands CI/CD pipelines and DevOps practices.

Able to design and debug scalable microservices and APIs leveraging AI-assisted development tools or prompt engineering.