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Career roadmap

MLOps Engineer

Operationalises and monitors ML systems.

Last updated 15 Jul 2026

At a glance

Average salary
₹8–46 LPA
Difficulty
Moderate
Time to job-ready
6–18 months
Future demandVery High 86/100
AI riskLow 38/100

Overview

Operationalises and monitors ML systems.

Suitable for

Students drawn to the technology field who enjoy devops and want strong growth.

Who enjoys this

People who enjoy devops, cloud computing, problem solving and solving real problems.

Eligibility

Qualifications

  • Relevant graduation or diploma in a related field
  • Strong practical skills and a portfolio matter as much as the degree

Alternative paths

  • Self-study + projects
  • Online certifications
  • Internships to gain experience

Relevant degrees

  • Degrees related to Data & AI

Skills

Technical skills

  • DevOps
  • Cloud Computing
  • Problem Solving
  • Machine Learning
  • Python
  • Data Structures & Algorithms
  • Object-Oriented Programming
  • Git & GitHub
  • One language (Java/Python/C++)
  • Databases (SQL/NoSQL)
  • REST APIs
  • System Design (basics)
  • Testing & Debugging
  • Version Control
  • CI/CD basics
  • Cloud fundamentals
  • AI Coding Tools

Soft skills

  • Communication
  • Problem-solving
  • Teamwork
  • Time management
  • Adaptability
  • Continuous learning

Tools

  • Industry-standard tools for MLOps Engineer

Step-by-step roadmap

  1. Step 1: Learn the fundamentals

    1–3 months

    Build a strong base in DevOps for MLOps Engineer.

  2. Step 2: Master the key skills

    3–6 months

    Focus on DevOps, Cloud Computing, Problem Solving.

  3. Step 3: Build real projects

    2–4 months

    Apply your skills to 3–4 practical projects for your portfolio.

  4. Step 4: Get certified (optional)

    1–3 months

    Add a recognised certification to strengthen your profile.

  5. Step 5: Do an internship

    2–6 months

    Gain real-world experience and industry context.

  6. Step 6: Apply for jobs

    Ongoing

    Target MLOps Engineer and related roles.

Certifications

  • A recognised certification in DevOps

    Difficulty
    Beginner–Intermediate
    Cost
    Varies
    Duration
    1–3 months
    Importance
    Recommended

Salary progression

  1. Entry

    ₹8 LPA

  2. Mid

    ₹20 LPA

  3. Senior

    ₹46 LPA

  4. Leadership

    ₹64 LPA+

Future scope

Growth
Clear progression from entry level to senior and leadership roles as you build experience in MLOps Engineer.
Industry demand
Steady demand across the technology sector in India, with room to specialise.
International
Strong international demand; a common route to work or study abroad.
Remote work
Very remote-friendly — many roles are hybrid or fully remote.
AI risk
AI-safety score 62/100 from CareerSafar data (higher safety = lower risk).

Career opportunities

Roles

  • MLOps Engineer
  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • AI Research Scientist
  • Data Engineer

Government jobs

  • NIC Scientist / Scientific Officer
  • ISRO Scientist/Engineer (ICRB)
  • DRDO Scientist (RAC)
  • C-DAC Engineer
  • NPCIL / BARC Engineer
  • BHEL / SAIL IT Officer
  • SSC Scientific Assistant
  • Indian Railways IT Officer (RRB)
  • State Government Programmer
  • Government Cyber Security Analyst
  • PSU Software Engineer (GATE/PSU)
  • UPSC IES (relevant branches)

Private jobs

Roles at companies across the Data & AI sector

Abroad

Good international opportunities with experience and the right certifications.

Top colleges

Top colleges in Punjab

  • Panjab University, ChandigarhChandigarhGovernment
  • Guru Nanak Dev University (GNDU)AmritsarGovernment
  • Punjabi UniversityPatialaGovernment
  • PEC (Punjab Engineering College)ChandigarhGovernment
  • Thapar Institute of Engineering & TechnologyPatialaDeemed
  • Lovely Professional University (LPU)PhagwaraPrivate
  • Chitkara UniversityRajpuraPrivate
  • Chandigarh Group of Colleges (CGC)LandranPrivate
  • GNDECLudhianaAutonomous

Top colleges in India

  • IITs (Bombay, Delhi, Madras, Kanpur, Kharagpur…)Pan-IndiaGovernment
  • NITs (Trichy, Surathkal, Warangal…)Pan-IndiaGovernment
  • IISc BengaluruBengaluruDeemed
  • University of Delhi (DU)New DelhiGovernment
  • JNUNew DelhiGovernment
  • BHUVaranasiGovernment
  • Jamia Millia IslamiaNew DelhiGovernment
  • BITS PilaniPilaniDeemed
  • Christ UniversityBengaluruDeemed
  • Manipal Academy of Higher EducationManipalDeemed
  • VIT VelloreVelloreDeemed
  • SRM Institute of Science & TechnologyChennaiDeemed
  • Amity UniversityNoidaPrivate
  • Symbiosis InternationalPuneDeemed

Common mistakes to avoid

Learning resources

Books
  • Standard textbooks and reference guides for MLOps Engineer
Websites
  • CareerSafar
  • Coursera
  • YouTube learning channels
Courses
  • Beginner-to-advanced online courses for MLOps Engineer
Practice
  • Real projects and internships
  • Practice platforms in your field
YouTube
  • Field-specific tutorial channels

FAQs

Is MLOps Engineer a good career choice?

MLOps Engineer sits in the Technology space with clear demand and growth. It suits students who enjoy this kind of work — take the CareerSafar Career Test for a personalised match.

How hard is it?

It is rated "Moderate". With consistent effort and the step-by-step path above, it is very achievable.

Is it safe from AI?

Its AI-risk score is 38/100. Human judgement keeps it relatively safe.

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