Keywords Studios Off Campus Drive 2026 | AI Engineer (Fresher)

⏱️ 6 min read | 💼 Gaming & AI | 🚀 Artificial Intelligence 📅 Published: June 17, 2026
🏢 CompanyKeywords Studios
👨‍💻 RoleAI Engineer (Entry Level)
📍 LocationPan India / Pune / Bengaluru
🎓 Batch Target2025 & 2026 Batch Graduates
📚 DegreeB.E / B.Tech / M.Tech in CS/AI/DS
💻 Apply ModeOnline (Careers Portal)
📅 Last Updated: June 2026 | ⚡ Active Recruitment Window

🛡️ Content Review & Verification

Reviewed By: Pavan (Career Content Analyst)
Last Fact Checked: June 2026

Sources: Official Keywords Studios Careers Portal and Data Science tech hiring guidelines.

✍️
Reviews core enterprise AI roles, Machine Learning engineering openings, and full-stack recruitment programs. Career Content Reviewer.

Are you fascinated by the intersection of video games and Artificial Intelligence? Keywords Studios, an international technical and creative services provider to the global video games industry, has officially released the registration link for their Entry Level AI Engineer role. This team focuses heavily on applying modern Machine Learning, Generative AI, and NLP techniques to revolutionize game development, testing automation, and asset creation pipelines.

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Academic Eligibility Criteria

Working as an AI Engineer requires strong mathematical and programming foundations. Keywords Studios filters applicants primarily through these criteria:

  • Degree: B.E / B.Tech or M.E / M.Tech.
  • Specializations: Computer Science, Artificial Intelligence, Data Science, Machine Learning, or highly related streams.
  • Graduation Batches: Targeted primarily at 2025 and 2026 graduating batches.
  • Academic Minimum: An aggregate of 65% or 6.5 CGPA and above is highly preferred to clear initial shortlisting.

Keywords Studios AI Engineer Salary 2026

Artificial Intelligence roles generally command a premium in the market. As an entry-level AI developer in the gaming sector, the compensation is highly competitive.

💰 Estimated Compensation Breakup:

  • Total Base CTC: ₹6,00,000 to ₹10,00,000 (6.0 - 10.0 LPA) Per Annum depending on your ML portfolio.
  • Role Designator: AI Engineer (Entry Level / Fresher).
  • Perks: Health Insurance, Hybrid work culture, exposure to top-tier global gaming clients (EA, Ubisoft, etc.), and continuous AI upskilling.

⚖️ Salary Comparison (AI & Top IT Companies)

How does the total compensation for this AI role compare against standard IT and FAANG giants? See the breakdown below:

Company & Job Role Expected CTC Range (Freshers)
Keywords Studios (AI Engineer) ₹6.0 LPA - ₹10.0 LPA
Citi Group (Data Science Analyst) ₹12.0 LPA - ₹15.0 LPA
Amazon (SDE 1) ₹30.0 LPA+ (Premium tier)
Wipro (Elite NTH Project Engineer) ₹3.5 LPA
Oracle Cloud (Cloud Associate) ₹8.0 LPA - ₹12.0 LPA
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🎓 Mandatory Technical Skills For AI Engineers

To succeed as an AI Engineer at Keywords Studios, you must possess a strong blend of programming and mathematical intuition:

  • Core Programming: Absolute mastery over Python. Familiarity with C++ is a huge bonus in the gaming industry.
  • Machine Learning Frameworks: Hands-on experience with PyTorch, TensorFlow, Scikit-Learn, and Pandas.
  • GenAI & NLP: Knowledge of Prompt Engineering, working with Large Language Models (LLMs), LangChain, and API integrations (OpenAI, HuggingFace).
  • Math Foundations: Strong grasp of Linear Algebra, Calculus, and Probability & Statistics for optimizing model performance.

🧩 AI Assessment Pattern & Detailed Syllabus

The recruitment process for AI roles differs significantly from standard software engineering tests. Prepare for the following:

📝 Test Pattern Structure:

  • Section 1: Python & DSA Coding (40 mins) - Standard algorithmic questions (Arrays, Strings, Hashmaps) implemented in Python.
  • Section 2: ML & Math MCQs (30 mins) - Questions targeting Gradient Descent, Loss Functions, Overfitting/Underfitting, bias-variance tradeoff, and matrix operations.
  • Section 3: Data Task / Mini Project (Optional/Take-home) - You may be asked to clean a dataset and build a basic predictive model or write an optimized prompt script for a given scenario.
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🚀 AI Interview Process

Candidates qualifying the assessment will undergo intensive conceptual evaluation:

  1. Technical Round 1 (Algorithms & Python): Live coding. They will evaluate how cleanly you write Python code and handle data structures.
  2. Technical Round 2 (Machine Learning & Portfolio): Deep dive into your resume. Be ready to explain the architecture of your ML projects, why you chose specific models, and how you would scale them. Expect questions on GenAI/LLM concepts.
  3. Managerial/HR Round: Behavioral assessment analyzing your passion for the gaming industry, communication proficiency, and cultural fitment.

⚖️ Pros & Cons of Joining Keywords Studios

❓ Frequently Asked Questions (FAQs)

What does an AI Engineer do at Keywords Studios?

An AI Engineer at Keywords Studios works on integrating Machine Learning and Generative AI into game development workflows. This includes tasks like automating game testing, generating assets, and implementing NLP models.

What is the salary for an AI Engineer at Keywords Studios?

For entry-level AI and Machine Learning roles, the compensation generally ranges between ₹6.0 Lakhs to ₹10.0 Lakhs Per Annum (LPA) base, depending on the candidate's skill set.

Are non-CS branches eligible for this AI role?

Yes, as long as you have a related tech degree (like Electronics or Math/Computing) and possess exceptional Python coding and Machine Learning fundamentals, you can clear the assessments.

What technologies should I know?

You must be proficient in Python, PyTorch/TensorFlow, SQL, and possess a strong understanding of GenAI concepts, LLMs, and prompt engineering.


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Maximize your recruitment opportunities! If you are applying for Keywords Studios, you must also apply to these premium entry-level jobs actively hiring right now:

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✅ Official Keywords Studios Application Link

  1. Click the secure button below to be redirected to the official Keywords Studios Careers platform.
  2. Locate the AI Engineer (Fresher / Entry Level) role.
  3. Ensure your PDF resume highlights any GitHub repositories containing Machine Learning projects, Python scripts, or NLP deployments.

Disclaimer

This post is for educational and informational preparation purposes only. We are an independent career analytics platform and are not affiliated directly with Keywords Studios. Always verify corporate job details securely on the official application portal before submitting any personal data.

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