Job Overview
| Particulars | Details |
|---|---|
| Position | Software Engineer – AI/ML & Data Science |
| Company | Gartner |
| Location | Gurgaon |
| Job Type | Full-Time |
| Experience | 3 - 4 years |
| Category / Department | IT |
| Application Mode |
🏢 About Gartner
Company Overview:
Gartner is a global provider of actionable, objective business and technology insights. The company supports organizations with expert guidance, research, tools, and insights designed to help leaders make faster and smarter decisions on mission-critical priorities. Gartner operates globally and serves enterprises across approximately 90 countries and territories.
Company Mission:
To deliver actionable and objective business and technology insights that enable organizations to make faster, smarter decisions and improve performance.
Company Vision:
To provide leaders and organizations with insights and guidance that help them navigate emerging technologies, business opportunities, and future challenges.
Core Values / Principles
Objective Insights
Actionable Guidance
Innovation
Client Success
Technology Leadership
Data-Driven Decision Making
Gartner, Inc., 56 Top Gallant Road, Stamford, CT 06902, USA
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight 2–4 years of relevant AI/ML or Data Science experience.
Showcase Python projects and professional experience prominently.
Clearly mention NLP techniques, frameworks, and projects you have worked on.
Highlight practical Generative AI experience, including relevant models, APIs, frameworks, or applications.
Include measurable outcomes from AI/ML projects where possible.
Mention experience with data processing, model development, evaluation, and deployment where applicable.
Keep the resume focused on AI, ML, NLP, Python, and data science.
Interview Preparation:
Review Python programming, data structures, and commonly used data science libraries.
Prepare NLP fundamentals such as text preprocessing, embeddings, classification, transformers, and language models.
Review Generative AI concepts, LLMs, prompt engineering, RAG, embeddings, and vector databases where relevant to your experience.
Prepare machine learning fundamentals and model evaluation techniques.
Be ready to explain your previous AI/ML and data science projects.
Practice discussing technical decisions, model performance, and real-world implementation challenges.
Professional Tips:
Tailor your resume specifically for AI/ML and Data Science.
Highlight hands-on Generative AI experience rather than only listing it as a skill.
Include links to relevant projects or portfolios if available.
Clearly explain the business or technical impact of your AI projects.
Use relevant AI/ML keywords naturally to improve ATS compatibility.
📝 Job Description
Position Details:
Gartner is looking for a Software Engineer to join its AI/ML and Data Science team in Gurgaon. The role provides an opportunity to work on data science and AI initiatives involving emerging technologies and impactful projects.
Candidates should have 2–4 years of relevant experience along with practical expertise in Python, NLP, and Generative AI. The position is suited to professionals who are interested in developing AI-driven solutions and applying data science techniques to real-world business and technology challenges.
Benefits / Compensation
Not Provided
Candidate Requirements:
2–4 years of relevant professional experience.
Strong Python experience.
Experience with Natural Language Processing (NLP).
Experience with Generative AI.
Relevant AI/ML or Data Science experience.
Ability to contribute to data science and AI projects.
Preferred Skills:
Python.
Natural Language Processing.
Generative AI.
Machine Learning.
Data Science.
AI-driven application development.
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can connect with the recruiter through direct message or send their CV to Jayveer.nanda@gartner.com.
🎯 Key Responsibilities
- ✓ Develop and contribute to AI/ML and data science solutions.
- ✓ Work with Python for data science and AI-related development.
- ✓ Apply NLP techniques to relevant projects.
- ✓ Work with Generative AI technologies and use cases.
- ✓ Contribute to impactful AI and data science initiatives.
- ✓ Explore and implement emerging technologies relevant to project requirements.
- ✓ Collaborate with technical and data-focused teams to deliver solutions.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Software Engineer – AI/ML & Data Science offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹6,00,000 - ₹12,00,000 per annum (Mid level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What is the job title?
The position is for a Software Engineer specializing in AI/ML and Data Science.
Which company is hiring?
Gartner is hiring for this position.
Where is the position located?
The role is based in Gurgaon, India.
How much experience is required?
Candidates should have 2–4 years of relevant experience.
Which programming language is required?
Python experience is required.
Is NLP experience required?
Yes. Natural Language Processing (NLP) is one of the key required skills.
Is Generative AI experience required?
Yes. Candidates should have relevant Generative AI experience.
Is this a Data Science role?
Yes. The position focuses on AI/ML and data science projects.
What type of projects will the candidate work on?
The role involves cutting-edge technologies and impactful AI and data science projects.
How can candidates apply?
Candidates can connect through direct message or send their CV to Jayveer.nanda@gartner.com.
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