Airtel
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Gurugram · On-site · 2-5 Yrs · Oct 22
Telecommunications Services · 10000+ Employees · New Delhi, India
Airtel was founded to provide global connectivity and unlock endless opportunities. Our organization embodies a unique blend of energy, innovation, creativity, dedication, scale, and ownership, all aimed at being limitless. At Airtel, we strive to go beyond our duties to create impactful solutions for our consumers. Our team is highly skilled and constantly growing, actively developing infrastructure to introduce cutting-edge technologies like 5G, IoT, IQ, and Airtel Black. We have successfully launched 5G services in over 5,000 cities and towns nationwide, with 10 million unique customers on the 5G network nationally. Airtel Black is another convenient consumer service that provides combined billing for family and friends under a single bill. We also offer enterprise solutions, including national and international long-distance services for carriers. With a subscriber base exceeding 574 million as of 2023, we are committed to delivering effective products that contribute to the realization of a 'Digital India', enabling millions of individuals to connect and thrive for a brighter future. Our presence spans 7,915 census and 802,577 non-census towns and villages, covering almost 96% of the country's population with 388,726 Rkms of optical fiber and an extensive distribution network of 1.2 million outlets. We've also implemented conservation initiatives that have saved 14,676 MWh of electricity, 4412 tonnes of paper through our e-bill initiatives, and recycled 3330 tonnes of e-waste. At Airtel, we believe in taking early ownership, delivering quality, and experimenting with various career paths to boost our trajectories and gain valuable insights into the business, making us the best in the industry. We are committed to creating the ultimate experience for our consumers while maintaining an ecological balance in the world.
Hiring: Engineering, Customer support and operations
What employees say
+ Good atmosphere of the office
− Not as such cons for it
More reviews on the company profile.
Interview experience · Software Development Engineer (SDE)
Campus placement, it was really bad - the interviewers stretched my interview for 2 hours honing me with questions unrelated to the jd - and ultimately did not take me to the next round. I think the interview process sel
Average difficulty · Gurgaon, Haryana · 787 reports
More interview insightsJob description
Overview
Data Science (Machine Learning Engineer / MLE)
Responsibilities
- Develop and deploy machine learning models with a focus on quick, reliable experimentation to validate features and hypotheses. Our team values speed and quality in experimentation.
- Assist in building and maintaining machine learning pipelines, aiding in tasks such as data preparation, model training, and evaluation.
- Create scalable and cost-effective inference pipelines using modern tools
- Monitor the health and performance of machine learning models, to ensure their effectiveness
- Drive innovation in our Gen AI ecosystem by developing autonomous systems for key tasks like personalized recommendations, cross-sell and customer interactions
- Contribute to building reusable ML/AI components, frameworks and best practices that enable deployment of solutions at scale.
- Explore and build Agentic AI use cases, including AI agents capable of reasoning, planning, tool/API usage, workflow orchestration and autonomous execution of business tasks.
- Be involved in technology research, capability building across newer technologies and tools in Machine Learning ecosystem at scale
Qualifications
- B.Tech or MS in Computer Science
- Deep understanding of data structures and algorithms
- Expertise in Python, modern ML frameworks (Pyspark, PyTorch, TensorFlow) and MLops.
- Experience with large language models and prompt engineering
- Experience optimizing model inference speed and cost for large-scale deployments
- Proven track record in deploying production-ready ML models
- Good understanding of Machine Learning algorithms
- 1 to 2years of experience in designing and deploying ML modeling and prediction pipelines
- Ability to contribute to multiple projects simultaneously and work in a fast-paced, collaborative and iterative environment
Verify Airtel for this role
Free PRACTICE for Airtel adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Airtel free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 4 November 2026
- How do I apply for Machine Learning Engineer- Data Science at Airtel?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Airtel may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Engineer- Data Science role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Engineer- Data Science remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Engineer- Data Science role at Airtel?
- This is a mid-level Machine Learning Engineer- Data Science role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.