Artificial Intelligence, Machine Learning & Data
Government or privateDeep Learning Engineer
Entry track: Skills + portfolio + hiring assessments · Entrance/qualification path + employer/institute recruitment
Where are you right now?
Typical time from here: 18–36 months
How you get in
JEE/engineering entrances, CUET, GATE CS/DA/EC/EE, JAM/statistics routes, postgraduate admissions, internships, coding/data assessments and research recruitment
Exam pages on StudyBddy
What you must have
B.Tech/B.E., B.Sc./M.Sc. in CS, mathematics, statistics or related fields; MCA/M.Tech/PhD for specialised research roles
The gate that decides it
Strong portfolio
First evidence to build
End-to-end tabular ML
Your first 90 days
Days 1–30: eligibility and diagnostic in Python; linear algebra. Days 31–60: core practice in Supervised/unsupervised learning; deep learning. Days 61–90: complete End-to-end tabular ML and obtain one external review.
Realistic first roles
- ML intern
- junior data scientist
- AI engineer
Core tools and platforms
The 9-phase route for this post
Deep Learning Engineer follows the Machine Learning, AI & Data Science Engineering route.
Phase 0 · Target, Eligibility & Reality Check
Explore the work through career videos, informational interviews and one mini-task. Select school subjects/degree route that supports Python; linear algebra; calculus; probability; statistics; data structures. Record age, medical, licence or degree conditions from official notices.
Typical duration: 1–2 weeks
Phase 1 · Foundation & Academic Base
Strengthen school/college fundamentals in Python; linear algebra; calculus; probability; statistics; data structures. Use textbooks plus one structured course; solve weekly problems and practise communication.
Typical duration: 6–16 weeks
Phase 2 · Core Curriculum / Skill Stack
Complete a structured curriculum covering Supervised/unsupervised learning; deep learning; feature engineering; evaluation; experimentation; model deployment. Pair each topic with a lab, case, answer-writing exercise or practical task.
Typical duration: 3–9 months
Phase 3 · Applied Practice, Projects & Field Exposure
Build progressively harder evidence: End-to-end tabular ML; computer vision or NLP project; deployed model API; reproducible capstone. Seek internships, labs, clubs, competitions, volunteering or apprenticeship where appropriate.
Typical duration: 2–6 months
Phase 4 · Exam, Credential, Licence or Advanced Qualification
Plan prerequisites early. Use official syllabus/PYQs and preserve academic performance required for Strong portfolio; relevant degree preferred; GATE/PG route for advanced research roles; cloud/ML credentials optional.
Typical duration: 3–18 months, route-dependent
Phase 5 · Experience, Network & Professional Evidence
Use college projects, AICTE internships, NCS, apprenticeships, research labs, volunteering and competitions aligned to Machine Learning, AI & Data Science Engineering.
Typical duration: 2–6 months, may overlap
Phase 6 · Portfolio, CV, Applications & Selection Preparation
Create a one-page student CV, project portfolio and concise introduction. Practise aptitude, subject and behavioural questions relevant to Machine Learning, AI & Data Science Engineering.
Typical duration: 4–12 weeks
Phase 7 · Selection, Joining & First 90 Days
During internship/first role, learn SOPs, safety, tools and team expectations. Keep a weekly learning and contribution log.
Typical duration: First 90 days
Phase 8 · Growth, Specialisation & Position-to-Position Progression
Understand the long ladder early: Applied scientist; AI architect; research engineer; technical lead. Choose experiences that compound rather than random certificates.
Typical duration: 1–5 years per progression step
Other posts on the same route
Check it at the source
- https://gate.iitk.ac.in/
- https://scikit-learn.org/stable/user_guide
- https://docs.pytorch.org/tutorials/
- https://www.kaggle.com/
These roles normally require separate private, campus, research-lab, or government recruitment after education and skill development. Verify current eligibility, dates and recruitment rules from the official notification.