AI Engineer Jobs in Pune 2026: Apply Kaise Kare

Pune mein AI Engineer job chahiye, par LinkedIn pe 300 applicants already dikh rahe hain? Naukri pe “Applied” ka status atka hua hai, recruiter reply nahi kar raha, aur dimaag mein same question chal raha hai: “Bhai, 2026 mein AI Engineer banne ke liye exactly karna kya hai?”

Tension mat le. Pune ka tech market AI ke liye seriously strong ho raha hai. Hinjewadi, Kharadi, Baner, Viman Nagar, Magarpatta, Yerwada side pe startups se leke MNCs tak AI, ML, GenAI, Data Science roles hire kar rahe hain.

But ek problem hai: AI Engineer ka title fancy lagta hai, par companies ka expectation clear hota hai. Python, ML, LLMs, cloud, deployment, projects, resume keywords, interview prep. Agar ye sab random tareeke se karoge, toh 6 mahine nikal jayenge aur offer nahi aayega.

Chalo seedha samjhte hain, 2026 mein Pune mein AI Engineer jobs ke liye apply kaise kare, salary kitni mil sakti hai, kaunsi skills chahiye, resume kaise banana hai, aur kaunsi mistakes avoid karni hai.

Pune mein AI Engineer Jobs 2026: Market kaisa hai?#

Pune pehle se IT services ka strong hub tha. TCS, Infosys, Wipro, Cognizant, Accenture, Capgemini, Tech Mahindra jaise companies yahan huge teams run karti hain.

Ab AI ka demand sirf product companies mein nahi hai. Service companies bhi clients ke liye AI automation, chatbots, predictive analytics, document processing, fraud detection, code assistants, customer support AI tools build kar rahi hain.

2026 tak Pune mein AI roles ke common employers ye ho sakte hain:

1. IT service companies

   • TCS
   • Infosys
   • Wipro
   • Cognizant
   • Accenture
   • Capgemini
   • Tech Mahindra

2. Fintech aur product companies

   • Paytm
   • PhonePe
   • Razorpay
   • Bajaj Finserv
   • Mastercard
   • Fiserv

3. Food tech, logistics, consumer tech

   • Swiggy
   • Zomato
   • Zepto type startups
   • Supply chain analytics companies

4. SaaS aur AI startups

   • Baner, Kalyani Nagar, Viman Nagar, Kharadi side pe kaafi small to mid-size AI product teams milti hain.

5. Global capability centers

   • Companies jo India mein AI, data, cloud teams setup kar rahi hain, unke Pune offices mein good roles milte hain.

Important baat: 2026 mein sirf “Machine Learning” likhna enough nahi hoga. Companies AI Engineer se model banana ke saath usko production mein deploy karna bhi expect karengi.

AI Engineer ka kaam hota kya hai?#

AI Engineer ka basic role hai business problem ko AI solution mein convert karna.

Example:

• Bank ko fraud detection chahiye
• E-commerce app ko recommendation system chahiye
• Customer support team ko chatbot chahiye
• HR team ko resume screening automation chahiye
• Manufacturing company ko predictive maintenance chahiye
• Sales team ko lead scoring model chahiye

AI Engineer in problems ke liye data samajhta hai, model choose karta hai, train karta hai, test karta hai, API banata hai, deployment karta hai, aur performance monitor karta hai.

Daily work mein kya hota hai?

Aapka daily work kuch aisa ho sakta hai:

1. Python code likhna
2. Data clean karna using Pandas, NumPy
3. ML models train karna using Scikit-learn, XGBoost
4. Deep learning models banana using PyTorch ya TensorFlow
5. LLM APIs use karna, jaise OpenAI, Gemini, Claude type APIs
6. RAG pipelines banana using vector databases
7. Model APIs banana using FastAPI ya Flask
8. Docker, AWS, Azure, GCP pe deployment
9. Model performance monitor karna
10. Product, data, backend teams ke saath meetings

Simple language mein: AI Engineer coder bhi hota hai, data samajhne wala bhi, aur production system sochne wala bhi.

Pune mein AI Engineer Salary 2026#

Salary experience, company type, skills, aur interview performance pe depend karti hai. But practical numbers samajh lo.

Freshers ke liye

Agar tum fresher ho aur AI projects strong hain, toh Pune mein salary range roughly:

• Basic service company role: ₹4 LPA to ₹7 LPA
• Better ML Engineer fresher role: ₹6 LPA to ₹10 LPA
• Strong startup/product role: ₹8 LPA to ₹14 LPA

Agar tumhare paas GitHub projects, internships, Kaggle, LLM projects, deployment experience hai, toh ₹10 LPA plus bhi possible hai.

1 to 3 years experience

Agar tum Python developer, data analyst, backend developer ya ML intern se AI Engineer role mein move kar rahe ho:

• Service companies: ₹7 LPA to ₹13 LPA
• Mid-size product companies: ₹12 LPA to ₹20 LPA
• Strong AI startup: ₹15 LPA to ₹28 LPA

3 to 6 years experience

Is level pe company expect karegi ki tum independently AI feature build kar sako.

• IT service companies: ₹14 LPA to ₹25 LPA
• Product companies: ₹22 LPA to ₹40 LPA
• High growth startups: ₹25 LPA to ₹50 LPA

Razorpay, PhonePe, Swiggy, Zomato type companies mein AI/Data roles ka package kaafi strong ho sakta hai, especially agar tum system design, ML deployment, GenAI aur scale samajhte ho.

AI Engineer ke liye must-have skills#

Ab main tumhe straight roadmap de raha hoon. Random YouTube playlist follow karne se better hai ki skills ko job requirement ke hisaab se build karo.

1. Python solid hona chahiye

AI Engineer ke liye Python non-negotiable hai.

Tumhe ye topics aane chahiye:

• Lists, dicts, sets, tuples
• Functions, classes
• File handling
• Error handling
• Virtual environments
• APIs call karna
• Basic OOP
• Data structures basics

Agar Python weak hai, toh AI course start mat karo. Pehle Python strong karo, warna har notebook mein error dekh ke demotivate ho jaoge.

2. Data handling skills

AI ka base data hai. Tumhe data clean karna, transform karna, analyze karna aana chahiye.

Tools:

• Pandas
• NumPy
• Matplotlib
• Seaborn
• SQL

SQL ignore mat karo. Pune ke 70 percent data/AI interviews mein SQL aata hi hai.

Common SQL questions:

1. Second highest salary
2. Joins
3. Group by
4. Window functions
5. Duplicate records find karna
6. Monthly active users
7. Customer retention query

3. Machine Learning fundamentals

Sirf model.fit karna AI nahi hota. Interviewer poochega model kyun choose kiya.

Must know ML topics:

• Linear Regression
• Logistic Regression
• Decision Tree
• Random Forest
• XGBoost
• SVM basics
• K-Means clustering
• PCA
• Train-test split
• Cross-validation
• Overfitting, underfitting
• Precision, recall, F1 score, ROC-AUC
• Feature engineering

Agar tum explain nahi kar paate ki precision vs recall kab important hai, toh interview mein dikkat hogi.

4. Deep Learning basics

Har AI job deep learning heavy nahi hoti, but basics important hain.

Learn:

• Neural networks
• Activation functions
• Backpropagation idea
• CNN basics
• RNN/LSTM basics
• Transformers basics
• PyTorch ya TensorFlow

2026 mein PyTorch ka demand strong rahega, especially product aur research-style teams mein.

5. GenAI aur LLM skills

Yahan game change hota hai. 2026 ke AI Engineer roles mein GenAI ka mention bahut common hoga.

Tumhe ye cheezein aani chahiye:

• Prompt engineering basics
• OpenAI/Gemini APIs
• Embeddings
• Vector databases
• RAG, Retrieval Augmented Generation
• LangChain ya LlamaIndex basics
• Fine-tuning concept
• Evaluation of LLM output
• Hallucination control
• Guardrails

Project example: Company documents ke upar chatbot banao jo PDF, policy docs, FAQs se answer de. Ye project resume pe strong dikhta hai.

Pune AI Jobs ke liye best projects#

Projects bina AI resume aadha lagta hai. Certificate se zyada recruiter ko proof chahiye ki tum bana sakte ho.

Yahan 7 projects hain jo Pune AI Engineer jobs ke liye kaafi relevant hain.

Project 1: Resume Screening AI Tool

Ek tool banao jo resume upload karke job description ke against match score de.

Features:

• PDF resume parsing
• JD keyword extraction
• Skills match
• Missing keywords
• Score out of 100
• Suggestions

Tech stack:

• Python
• FastAPI
• Sentence Transformers
• Vector similarity
• Streamlit frontend

Isko HR tech, ATS, recruitment automation companies ke liye pitch kar sakte ho.

Project 2: Customer Support Chatbot for E-commerce

Swiggy, Zomato, Amazon-style support chatbot banao.

Features:

• Order status questions
• Refund FAQ
• Complaint classification
• Human handoff logic
• RAG with FAQ documents

Tech stack:

• LangChain
• OpenAI/Gemini API
• FAISS/Chroma
• FastAPI
• React optional

Project 3: Fraud Detection for Fintech

Paytm, PhonePe, Razorpay type companies ke liye relevant project.

Features:

• Transaction data analysis
• Fraud probability score
• Model explanation
• High risk alert
• Dashboard

Models:

• Logistic Regression
• Random Forest
• XGBoost

Important: Imbalanced data handling zaroor dikhana.

Project 4: Food Delivery ETA Prediction

Swiggy/Zomato inspired project.

Features:

• Restaurant distance
• Weather
• Traffic category
• Rider availability
• Prep time
• ETA prediction

Isme regression, feature engineering aur deployment dikh sakta hai.

Project 5: Document Q&A Bot for Company Policies

Corporate companies mein internal knowledge bots ka demand hai.

Features:

• PDF upload
• Chunking
• Embeddings
• Vector search
• LLM-based answer
• Source citation

Agar answer ke saath “source page number” dikhaoge, project aur strong lagega.

Project 6: AI Code Review Assistant

Developer productivity AI tools 2026 mein aur common honge.

Features:

• Code paste karo
• Bugs identify
• Security issue suggest
• Better code suggestion
• Complexity explanation

Ye project software companies ko impress kar sakta hai.

Project 7: Predictive Maintenance Model

Manufacturing Pune ke aas-paas strong sector hai. Chakan, Pimpri-Chinchwad, Talegaon industrial area mein AI use cases milte hain.

Features:

• Sensor data
• Failure prediction
• Alert system
• Dashboard

Ye project manufacturing analytics roles ke liye useful hai.

Resume kaise banaye AI Engineer role ke liye?#

Ab serious baat. Tumhara resume ATS-friendly nahi hai toh recruiter tak pahuchne se pehle reject ho sakta hai.

ATS matlab Applicant Tracking System. Ye software resume scan karta hai aur keywords match karta hai. Agar job description mein “Python, TensorFlow, RAG, FastAPI, AWS” hai aur tumhare resume mein ye clearly nahi likha, toh chance kam ho jata hai.

Resume structure simple rakho

AI Engineer resume ka structure:

1. Header
2. Summary
3. Skills
4. Work experience ya internship
5. Projects
6. Education
7. Certifications
8. GitHub/Portfolio links

Fancy Canva templates avoid karo. Tables, icons, images, progress bars mat use karo. ATS confuse ho sakta hai.

Resume summary example

Good example:

“AI Engineer with hands-on experience in Python, Machine Learning, RAG-based chatbots, FastAPI, and AWS deployment. Built 4 AI projects including resume screening tool, fraud detection model, and document Q&A chatbot. Strong in SQL, Pandas, Scikit-learn, and LLM API integration.”

Bad example:

“Passionate AI enthusiast looking for an opportunity to grow and learn in a reputed organization.”

Bhai, passion sabka hota hai. Proof dikhao.

Skills section example

Skills ko clean format mein likho:

• Programming: Python, SQL
• ML: Scikit-learn, XGBoost, Random Forest, Logistic Regression
• Deep Learning: PyTorch, TensorFlow
• GenAI: RAG, LangChain, LlamaIndex, OpenAI API, Embeddings
• Backend: FastAPI, Flask, REST APIs
• Cloud/DevOps: AWS EC2, S3, Docker, GitHub Actions
• Data: Pandas, NumPy, Matplotlib, Seaborn
• Databases: PostgreSQL, MySQL, MongoDB, FAISS, Chroma

Project bullet ka format

Project section mein ye format follow karo:

• Problem kya tha
• Tumne kya banaya
• Tech stack kya use kiya
• Result kya mila

Example:

AI Resume Screening Tool

• Built a resume-job matching system using Python, FastAPI, Sentence Transformers, and FAISS.
• Parsed PDF resumes and extracted skills, experience, and education using NLP techniques.
• Generated ATS match score and missing keyword suggestions based on job description.
• Deployed demo on AWS EC2 with REST API endpoints.

Is tarah project real lagta hai.

Apply kahan kare Pune AI Engineer jobs ke liye?#

Sirf LinkedIn pe Easy Apply karna enough nahi hai. Usse response rate low hota hai.

Best platforms

1. LinkedIn

   • Recruiter search ke liye best
   • Networking ke liye useful
   • Job alerts set karo

2. Naukri

   • Indian recruiters ka favourite
   • Profile daily update karo
   • Keywords add karo

3. Instahyre

   • Product companies ke liye good

4. Wellfound

   • Startups ke liye useful

5. Company career pages

   • TCS, Infosys, Wipro, Accenture, Capgemini, Tech Mahindra, Mastercard, Bajaj Finserv

6. Hirist

   • Tech roles ke liye decent

7. CutShort

   • Startup and tech roles

Search keywords use karo

AI Engineer jobs search karte time sirf “AI Engineer” mat daalo. Ye keywords try karo:

• Machine Learning Engineer Pune
• AI Engineer Pune
• GenAI Engineer Pune
• LLM Engineer Pune
• NLP Engineer Pune
• Data Scientist Pune
• Applied AI Engineer Pune
• MLOps Engineer Pune
• Python ML Engineer Pune
• RAG Developer Pune
• Computer Vision Engineer Pune

2026 mein titles mixed honge. Same job kisi company mein AI Engineer, kisi mein ML Engineer, kisi mein GenAI Developer ke naam se ho sakti hai.

Apply karne ka smart process#

Random 100 jobs apply karna mat. Smart apply karo.

Step 1: Target list banao

Excel ya Notion mein 50 companies ka list banao.

Columns:

• Company name
• Role
• Location
• Job link
• Skills required
• Recruiter name
• Applied date
• Status
• Follow-up date

Step 2: Resume tailor karo

Har job ke liye resume full rewrite nahi karna, but top skills aur project bullets adjust karo.

Agar JD mein RAG, LangChain, Vector DB hai, toh resume ke top half mein ye words visible hone chahiye.

Agar JD mein ML models, SQL, AWS hai, toh woh highlight karo.

Step 3: Referral lo

Referral se response chance kaafi improve hota hai.

LinkedIn message example:

“Hi Rahul, I saw an AI Engineer opening at your company in Pune. I have hands-on experience with Python, ML, RAG chatbots, FastAPI, and AWS. I built a document Q&A bot and fraud detection project. If possible, could you refer me for this role? Sharing my resume and job link. Thanks.”

Short, respectful, clear.

Step 4: Recruiter ko message karo

Recruiter ko generic “Hi” mat bhejo.

Message:

“Hi Priya, I applied for the GenAI Engineer role in Pune. My experience matches Python, LangChain, RAG, FastAPI, and AWS mentioned in the JD. I have built 3 deployed AI projects and can share GitHub/demo. Would be happy to discuss if my profile fits.”

Step 5: Follow-up karo

Apply karne ke 4-5 din baad follow-up.

“Hi, just following up on my application for AI Engineer role. I’m very interested in the position and have relevant work in RAG, Python, ML deployment. Please let me know if I can share more details.”

Ek follow-up enough hai. Roz message mat karo, warna desperate lagta hai.

Interview preparation: Pune AI Engineer roles#

AI Engineer interview usually 4 parts mein hota hai:

1. Python coding
2. ML/AI concepts
3. Project deep dive
4. Deployment/system design

Senior roles mein MLOps aur architecture bhi aayega.

Python coding questions

Practice:

• Reverse a string
• Count frequency of words
• Find duplicates in list
• Merge two sorted lists
• Use dictionary for grouping
• Read CSV and process data
• API response parse karna
• Basic OOP class design

ML interview questions

Common questions:

1. Overfitting kya hota hai?
2. Bias-variance tradeoff explain karo.
3. Random Forest vs XGBoost difference?
4. Precision vs recall kab use karte ho?
5. Confusion matrix explain karo.
6. Imbalanced dataset handle kaise karoge?
7. Feature scaling kab zaroori hai?
8. Cross-validation kyun use karte hain?
9. Linear regression assumptions kya hain?
10. Model production mein degrade kyun hota hai?

GenAI interview questions

2026 ke liye ye must prepare:

1. RAG kya hota hai?
2. Embeddings ka use kya hai?
3. Vector database kaise kaam karta hai?
4. Chunk size ka impact kya hota hai?
5. Hallucination reduce kaise karoge?
6. Prompt injection kya hota hai?
7. Fine-tuning vs RAG difference?
8. LLM output evaluate kaise karte ho?
9. Temperature parameter kya karta hai?
10. Document chatbot mein source citation kaise add karoge?

Project deep dive

Interviewer tumhare project ko line by line check kar sakta hai.

Prepare answers for:

• Problem statement kya tha?
• Dataset kahan se aaya?
• Data cleaning kaise ki?
• Model kyun choose kiya?
• Accuracy ke alawa kaunsa metric use kiya?
• Deployment kaise kiya?
• Agar users 10x ho jayein toh kya change karoge?
• Security kaise handle karoge?
• Cost kaise reduce karoge?
• Future improvement kya hai?

Agar project GitHub pe hai but tum explain nahi kar paaye, toh negative impact hota hai.

Fresher ke liye 90-day plan#

Agar tum fresher ho aur 2026 mein Pune AI Engineer job target kar rahe ho, toh ye 90-day plan follow karo.

Days 1 to 20: Python + SQL

Daily 3-4 hours:

• Python basics
• Pandas
• NumPy
• SQL joins
• Group by
• Window functions
• 30 coding problems

Output:

• 5 mini scripts
• 30 SQL queries
• 1 small data analysis notebook

Days 21 to 45: ML fundamentals

Learn:

• Regression
• Classification
• Clustering
• Feature engineering
• Model evaluation

Build:

• House price prediction
• Customer churn prediction
• Fraud detection basic model

Days 46 to 65: GenAI project

Build one solid RAG project.

Example:

• PDF document Q&A chatbot
• Company policy chatbot
• Resume matcher

Deploy it using Streamlit or FastAPI.

Days 66 to 80: Deployment + GitHub

Learn:

• FastAPI
• Docker basics
• AWS EC2 basics
• Git, GitHub
• README writing

Every project should have:

• Clean code
• Requirements.txt
• README
• Screenshots
• Demo link if possible

Days 81 to 90: Resume + applications

Do:

• ATS-friendly resume
• LinkedIn profile update
• Naukri profile update
• 50 targeted applications
• 20 referral messages
• 10 mock interviews

This plan intense hai, but doable hai if tum serious ho.

Experienced developers ka AI mein switch#

Agar tum Java, .NET, Python backend, QA automation, data analyst ya BI developer ho, toh AI Engineer role possible hai.

Backend developer to AI Engineer

Tumhara advantage:

• APIs samajhte ho
• Production systems samajhte ho
• Databases strong ho sakte hain

Focus karo:

• ML basics
• LLM integration
• RAG
• Model serving
• Vector databases

Project banao: Existing backend app mein AI assistant add karo.

Data analyst to AI Engineer

Tumhara advantage:

• SQL strong
• Data cleaning strong
• Business metrics samajhte ho

Focus karo:

• Python production code
• ML models
• FastAPI
• Deployment
• GenAI

Project banao: Analytics dashboard plus prediction model.

QA automation to AI Engineer

Tumhara advantage:

• Automation thinking
• Python/Java basics
• Testing mindset

Focus karo:

• Python deep
• ML basics
• LLM evaluation
• AI test automation

Project banao: AI test case generator ya bug classification tool.

Pune-specific job strategy#

Pune mein location matter karta hai. Agar tum local ho ya relocate kar sakte ho, resume/LinkedIn mein clearly mention karo:

• Location: Pune
• Open to work: Pune, Hybrid, Remote
• Preferred areas: Hinjewadi, Kharadi, Baner, Viman Nagar, Magarpatta

Recruiters often filter location.

Best areas to watch

• Hinjewadi: Infosys, Wipro, TCS, Cognizant, Tech Mahindra, many IT parks
• Kharadi: EON IT Park, fintech, SaaS, MNC offices
• Magarpatta: Cybercity, IT service and product teams
• Baner/Balewadi: Startups, SaaS companies
• Yerwada/Viman Nagar: MNCs, BFSI tech teams
• Pimpri-Chinchwad/Chakan: Manufacturing AI, IoT, predictive maintenance

If you are fresher, hybrid roles accept karna smart ho sakta hai. Remote-only ke chakkar mein opportunities miss mat karo.

Common mistakes jo candidates karte hain#

Mistake 1: Sirf certificates collect karna

Coursera, Udemy, YouTube sab useful hain, but certificate job nahi dilata. Project dilata hai, interview explanation dilata hai.

Mistake 2: Resume mein fake skills likhna

Agar resume mein PyTorch likha hai, toh basic tensor operations aur training loop explain karna aana chahiye. Fake skill pakdi gayi toh trust khatam.

Mistake 3: Deployment ignore karna

Notebook mein model chal gaya, good. But company poochegi API kaise banega, users kaise use karenge, failure kaise handle hoga.

Mistake 4: SQL weak rakhna

AI roles mein bhi SQL aata hai. Especially TCS, Infosys, Accenture, Capgemini, fintech companies mein.

Mistake 5: GitHub empty rakhna

Resume pe “AI Engineer” likha aur GitHub blank? Recruiter doubt karega.

Mistake 6: Same resume everywhere

AI Engineer, Data Scientist, Python Developer, Analyst sab roles pe same resume bhejna response rate reduce karta hai.

Mistake 7: Business problem explain nahi karna

Model accuracy 92 percent likhna good hai. But business impact kya hai? Fraud loss reduce? Support tickets automate? Hiring time save?

Impact language add karo.

LinkedIn profile optimize kaise kare#

LinkedIn 2026 mein bhi important rahega. Recruiters yahan direct search karte hain.

Headline example

“AI Engineer | Python, Machine Learning, GenAI, RAG, FastAPI | Built LLM Chatbots & ML APIs | Pune”

About section example

“AI Engineer based in Pune with hands-on experience building machine learning models, RAG-based chatbots, and deployed AI APIs. Skilled in Python, SQL, Scikit-learn, LangChain, FastAPI, Docker, and AWS. Interested in AI product engineering, fintech AI, and automation use cases.”

Featured section mein add karo

• GitHub link
• Portfolio website
• Best project demo
• Resume PDF
• Blog post if any

Weekly posting idea

Har week ek small post karo:

• “Built a RAG chatbot using LangChain and FAISS”
• “Learned precision vs recall with fraud detection example”
• “Deployed ML API using FastAPI”
• “SQL query practice for AI interviews”

Consistent activity se visibility improve hoti hai.

Final checklist before applying#

Apply karne se pehle ye checklist tick karo:

1. Resume ATS-friendly hai
2. Resume 1 page ya max 2 pages hai
3. Python, SQL, ML, GenAI skills clearly listed hain
4. 2-3 strong projects added hain
5. GitHub links working hain
6. LinkedIn updated hai
7. Naukri profile updated in last 24 hours
8. Job description ke keywords resume mein hain
9. Resume file name professional hai
10. Interview ke liye project explanation ready hai

Resume file name example:

Rahul_Sharma_AI_Engineer_Pune.pdf

Not good:

final_resume_new_latest_edited2.pdf

2026 mein AI Engineer banne ka real truth#

AI Engineer job glamorous lagti hai, but actual selection simple cheezon pe hota hai:

• Can you code?
• Can you understand data?
• Can you build ML/AI solution?
• Can you explain your choices?
• Can you deploy something?
• Can your resume pass ATS?
• Can you communicate clearly?

Pune mein opportunities hain, but competition bhi strong hai. TCS, Infosys, Wipro jaise companies mein entry easier ho sakti hai, product companies jaise Razorpay, PhonePe, Swiggy, Zomato mein bar higher hota hai. But agar tum projects, resume, referrals aur interview prep smartly karoge, toh 2026 mein ₹6 LPA fresher role se leke ₹25 LPA plus experienced AI role tak realistic target ban sakta hai.

Start small, but proof build karo. Ek deployed RAG chatbot, ek ML model with proper evaluation, ek clean GitHub, ek ATS-friendly resume. Ye combo tumhe crowd se alag karega.

Agar tum AI Engineer jobs in Pune 2026 ke liye apply karne wale ho, pehle apna resume ATS ke liye check kar lo. Free mein score aur improvement suggestions dekhne ke liye JobRise ka tool use karo: Free ATS Resume Checker