- Imagine you open YouTube and start watching videos you like.After sometime,you started seeing similar videos.
- Millions of people who use YouTube. Each person gets video recommendations based on what they watch.
- Behind the scenes, AI systems are working to make sure all these people are getting the videos they enjoy.
- MLOps Engineers make sure these AI systems are working properly.
- 👉 In simple words: MLOps Engineers keep AI systems running smoothly.
MLOps (Machine Learning Operations) Engineer
What Do They Do?
🎓 How to Become an MLOps Engineer
You have two options:
-
Start early with a Diploma
After Class 10, you can choose a relevant diploma course. Complete the diploma and join the second year of an engineering course by applying through lateral entry. -
Finish Class 12
Complete Class 11 and 12, then you can do a B.Tech./B.E. in the relevant field.
These beginner-level courses help students learn programming, computer systems, cloud computing basics, networking, automation, and DevOps fundamentals.
Diploma in Computer Science & Engineering
Duration: 3 Years
Eligibility: Class 10 Pass
Entrance Exam: Polytechnic Entrance Exam / Merit-Based Admission
Diploma in Information Technology
Duration: 3 Years
Eligibility: Class 10 Pass
Entrance Exam: Polytechnic Entrance Exam / Merit-Based Admission
Diploma in Artificial Intelligence & Machine Learning
Duration: 3 Years
Eligibility: Class 10 Pass
Entrance Exam: Polytechnic Entrance Exam / Merit-Based Admission
📝 Exam Details
(Click on the exam name to see full details)
Polytechnic Entrance Exam Merit-Based AdmissionNote: Many MLOps Engineers improve their skills by learning Linux, Python, cloud platforms, automation tools, and working on real-world projects.
These degree programs help students learn software development, cloud computing, DevOps practices, automation, system administration, and large-scale infrastructure management.
B.Tech in Computer Science & Engineering
Duration: 4 Years
Eligibility: 10+2 with Physics, Chemistry, and Mathematics
Entrance Exam: JEE Main / State Engineering Entrance Exams
B.Tech in Information Technology
Duration: 4 Years
Eligibility: 10+2 with Physics, Chemistry, and Mathematics
Entrance Exam: JEE Main / State Engineering Entrance Exams
B.Tech in CSE (Artificial Intelligence & Machine Learning)
Duration: 4 Years
Eligibility: 10+2 with Physics, Chemistry, and Mathematics
Entrance Exam: JEE Main / State Engineering Entrance Exams
B.Tech in Artificial Intelligence & Data Science
Duration: 4 Years
Eligibility: 10+2 with Physics, Chemistry, and Mathematics
Entrance Exam: JEE Main / State Engineering Entrance Exams
B.Tech in CSE (Data Science)
Duration: 4 Years
Eligibility: 10+2 with Physics, Chemistry, and Mathematics
Entrance Exam: JEE Main / State Engineering Entrance Exams
B.Tech in CSE (Cloud Computing)
Duration: 4 Years
Eligibility: 10+2 with Physics, Chemistry, and Mathematics
Entrance Exam: JEE Main / State Engineering Entrance Exams
B.Tech in CSE (DevOps & Automation)
Duration: 4 Years
Eligibility: 10+2 with Physics, Chemistry, and Mathematics
Entrance Exam: JEE Main / State Engineering Entrance Exams
Bachelor of Computer Applications (BCA) in Cloud Computing
Duration: 3 Years
Eligibility: 10+2 Pass (Any Stream)
Entrance Exam: CUET-UG / State-level CET / University Merit
Bachelor of Science (B.Sc.) in Computer Science
Duration: 3 Years
Eligibility: 10+2 Pass (with mathematics/ computer science or other specified subjects, as specified by the university)
Entrance Exam: CUET-UG / State-level CET / University Merit
Bachelor of Science (B.Sc.) in Data Science
Duration: 3 Years
Eligibility: 10+2 with Mathematics/Computer Science or other specified subjects, depending on the university
Entrance Exam: CUET-UG / University-specific Entrance Exam / Merit-based Admission
📝 Exam Details
(Click on the exam name to see full details)
JEE Main State Engineering Entrance Exams CUET-UG State-level CET University MeritNote: Many future MLOps Engineers start with Computer Science, Cloud Computing, or DevOps programs and later specialize in automation, cloud platforms, and machine learning deployment.
These programs help diploma holders move into advanced cloud, DevOps, automation, and infrastructure management roles. Students learn how to manage large-scale systems used in modern software and AI applications.
B.Tech in Computer Science & Engineering (Lateral Entry)
Duration: 3 Years
Eligibility: 3-Year Diploma in Engineering / Technology in a relevant field
Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission
B.Tech in Information Technology (Lateral Entry)
Duration: 3 Years
Eligibility: 3-Year Diploma in Engineering / Technology in a relevant field
Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission
B.Tech in CSE (Artificial Intelligence & Machine Learning) (Lateral Entry)
Duration: 3 Years
Eligibility: 3-Year Diploma in Engineering / Technology in a relevant field
Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission
B.Tech in Artificial Intelligence & Data Science (Lateral Entry)
Duration: 3 Years
Eligibility: 3-Year Diploma in Engineering / Technology in a relevant field
Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission
B.Tech in CSE (Data Science) (Lateral Entry)
Duration: 3 Years
Eligibility: 3-Year Diploma in Engineering / Technology in a relevant field
Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission
B.Tech in CSE (Cloud Computing) (Lateral Entry)
Duration: 3 Years
Eligibility: 3-Year Diploma in Engineering / Technology in a relevant field
Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission
B.Tech in CSE (DevOps & Automation) (Lateral Entry)
Duration: 3 Years
Eligibility: 3-Year Diploma in Engineering / Technology in a relevant field
Entrance Exam: State Lateral Entry Entrance Exam / Merit-Based Admission
📝 Exam Details
(Click on the exam name to see full details)
State Lateral Entry Exam University Entrance Exam Merit-Based AdmissionNote: Diploma holders can directly enter the second year of many degree programs and later specialize in Cloud Computing, DevOps, Automation, and MLOps technologies.
These advanced programs help students specialize in cloud infrastructure, automation, DevOps, machine learning deployment, and large-scale production systems used by modern technology companies.
M.Tech in Computer Science and Engineering
Duration: 2 Years
Eligibility: Graduate with B.Tech/B.E. in CSE, IT or a relevant engineering field
Entrance Exam: GATE / University Entrance Exam
M.Tech in Artificial Intelligence
Duration: 2 Years
Eligibility: Graduate with B.Tech/B.E. in CSE, IT or a relevant engineering field
Entrance Exam: GATE / University Entrance Exam
M.Tech in Artificial Intelligence & Machine Learning
Duration: 2 Years
Eligibility: Graduate with B.Tech/B.E. in CSE, IT or a relevant engineering field
Entrance Exam: GATE / University Entrance Exam
M.Tech in Data Science
Duration: 2 Years
Eligibility: Graduate with B.Tech/B.E. in CSE, IT or a relevant engineering field
Entrance Exam: GATE / University Entrance Exam
M.Tech in Computer Science & Engineering (Data Science)
Duration: 2 Years
Eligibility: Graduate with B.Tech/B.E. in CSE, IT or a relevant engineering field
Entrance Exam: GATE / University Entrance Exam
M.Tech in Computer Science & Engineering (Cloud Computing)
Duration: 2 Years
Eligibility: Graduate with B.Tech/B.E. in CSE, IT or a relevant engineering field
Entrance Exam: GATE / University Entrance Exam
Master of Computer Applications (MCA)
Duration: 2 Years
Eligibility: Bachelor's degree with Mathematics/Computer Science or other specified subjects, depending on the university
Entrance Exam: CUET-PG / University-specific Entrance Exam / Merit-based Admission
Master of Science (M.Sc.) in Computer Science
Duration: 2 Years
Eligibility: Bachelor's degree in Computer Science or a related discipline, depending on the university
Entrance Exam: CUET-PG / University-specific Entrance Exam / Merit-based Admission
Master of Science (M.Sc.) in Data Science
Duration: 2 Years
Eligibility: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or other relevant disciplines, depending on the university
Entrance Exam: CUET-PG / University-specific Entrance Exam / Merit-based Admission
📝 Exam Details
(Click on the exam name to see full details)
GATE University Entrance Exams CUET-PG Merit Based AdmissionNote: Most MLOps Engineers begin with Computer Science or IT degrees and later specialize in cloud platforms, DevOps tools, automation, and machine learning deployment through advanced programs and certifications.
Note:
Age limits, marks, and admission process may vary depending on the college or state.
These courses are available in many colleges and universities across India.
You can choose colleges based on your location, budget, and entrance exams.
🏛️ Colleges offering these courses in India
(Tap on a college to view the details)
After Class 10
Government Polytechnic College, Kalamassery Government Polytechnic College, Jalandhar, Punjab KMCT Institute of Emerging Technology & Management, KozhikodeAfter Class 12
Indian Institute of Technology (IIT) Madras, Tamil Nadu Alliance University, Bengaluru, Karnataka Manipal Institute of Technology (MIT), Bengaluru Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu Indian Institute of Space Science and Technology (IIST), Trivandrum, Kerala SRM Institute of Science & Technology, Tamil Nadu JAIN University, Ramanagara, Karnataka CMR University, Bengaluru, Karnataka Hansraj College, Delhi IIT Madras, Tamil NaduAfter Diploma (Lateral Entry)
Lovely Professional University (LPU), Punjab Chandigarh University, Punjab Chandigarh Engineering College, Punjab KPR Institute of Engineering and Technology, Coimbatore Manav Rachna International Institute of Research ans Studies (MRIIRS), Haryana Chandigarh University, PunjabAfter Graduation
Indian Institute of Technology (IIT) Delhi, New Delhi Indian Institute of Technology (IIT) Kanpur, UP Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu IIT Palakkad, Kerala Manipal Institute of Technology (MIT), Bengaluru SRM Intitute of Science and Technology, Tamil Nadu Hindustan Institute of Technology & Science, Chennai, Tamil Nadu MIT Arts, Commerce & Science College, Pune, Maharashtra Christ University, BengaluruSTEP 1
Imagine you are working as an MLOps Engineer in a company.
STEP 2
Your company has an online shopping app that uses AI system to recommend products to its users.
STEP 3
You job is to help connect this AI system to the shopping app, so people can use it.
STEP 4
You monitor the system and make sure it is working properly every day.
STEP 5
Millions of users continue receiving product recommendations because the AI system is running smoothly.
STEP 6
If you enjoy technology, coding, cloud systems, and solving problems, this career may suit you.
Where do MLOps Engineers work? (Job Roles + Growth)
MLOps Engineers work in : Technology and software companies, AI and machine learning companies, Cloud computing companies, Financial institutions, Healthcare organisations, e-commerce companies, Automotive companies, Startups.
🟢 Beginner Roles
Junior MLOps Engineer
(After Short-Term Course / Diploma / Certification)
Packages machine learning models and prepares them for deployment.
ML Infrastructure Support Associate
(After Diploma / Certification)
Monitors cloud servers and supports AI infrastructure systems.
Cloud Operations Assistant
(After Diploma / Graduation)
Helps manage cloud resources used by AI applications.
Deployment Support Assistant
(After Online Course / Graduation)
Tests AI deployments and checks for system issues.
🔵 Mid-Level Roles
MLOps Engineer
(After BCA / B.Tech / BSc CS + Experience)
Builds and maintains automated deployment pipelines for AI systems.
Cloud AI Engineer
(After Cloud & DevOps Training + Experience)
Manages cloud platforms that host machine learning applications.
ML Reliability Engineer
(After Infrastructure Training + Experience)
Improves system stability and monitors model performance in production.
DevOps Engineer (AI Systems)
(After DevOps Training + Experience)
Automates software delivery and deployment processes for AI products.
🟣 Advanced Roles
ML Platform Architect
(After MCA / M.Tech + Experience)
Designs large-scale AI infrastructure and cloud platforms.
Director of MLOps
(After Postgraduate Program + Experience)
Leads AI infrastructure teams and deployment strategy.
Head of AI Infrastructure
(After Senior MLOps Experience)
Oversees enterprise AI platforms, cloud systems, and operations.
Cloud Computing Companies
Manage cloud platforms that host machine learning and AI applications.
DevOps & Infrastructure Companies
Build automated deployment systems and monitor large-scale software platforms.
Artificial Intelligence Companies
Deploy, monitor, and maintain AI systems used by millions of users.
Data & Analytics Companies
Manage infrastructure that supports data processing and machine learning pipelines.
Remote MLOps Jobs
Support AI infrastructure and cloud platforms remotely for global companies.
Technology, Robotics & Automation Companies
Maintain AI systems used in automation, robotics, and smart technologies.
(Click Yes or No for each question)
1. When millions of people use apps like YouTube every day, have you ever wondered how everything works smoothly behind the scenes?
2. Are you interested in learning how large apps and websites stay fast and run smoothly for millions of users?
3. When you use YouTube, have you noticed that it usually shows your favourite videos?
4. Imagine you are working as an MLOps Engineer for a shopping app. The company wants an AI system that sends product recommendations to its customers. A team of engineers has already created the AI system. Your job is to put this AI system into the app and make sure it keeps working properly. Finally, customers start receiving product recommendations while using the app. Do you like this type of work?
5. The engineers have created a new version of the AI recommendation system. Your job is to put the new version into the shopping app without affecting the existing system. You check that the new version is working properly before making it available to all customers. Finally, customers start getting recommendations from the new AI system. Are you interested in doing this?