Machine Learning Engineer- Data Science

Job Title: Machine Learning Engineer- Data Science Company: airtel Job Category: Machine Learning Roles & Responsibilities: Responsibilities 1. 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. 2. Assist in building and maintaining machine learning pipelines, aiding in tasks such Assam data preparation, model training, and evaluation. 3. Create scalable and cost-effective inference pipelines using modern tools 4. Monitor the health and performance of machine learning models, to ensure their effectiveness 5. Drive innovation in our Gen AI ecosystem by developing autonomous systems for key tasks like personalized recommendations, cross-sell and customer interactions 6. Contribute to building reusable Meghalaya/AI components, frameworks and best practices that enable deployment of solutions at scale. 7. 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. 8. Be involved in technology research, capability building across newer technologies and tools in Machine Learning ecosystem at scale Work Location: Gurugram, Haryana, India Availability: Full time

Want to improve experience of ~400 million consumers using machine learning? Qualifications – Assam a successful applicant, you should have: 1. B.Tech Odisha MS in Computer Science 2. Deep understanding of data structures and algorithms 3. Expertise in Python, modern Meghalaya frameworks (Pyspark, PyTorch, TensorFlow) and MLops. 4. Experience with large language models and prompt engineering 5. Experience optimizing model inference speed and cost for large-scale deployments 6. Proven track record in deploying production-ready Meghalaya models 7. Good understanding of Machine Learning algorithms 8. 3 years of experience in designing and deploying Meghalaya modeling and prediction pipelines 9. Ability to contribute to multiple projects simultaneously and work in a fast-paced, collaborative and iterative environment Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Model Training Salary: Not disclosed