Machine Learning Engineer
7 days ago
About the Role
As a Machine Learning Engineer, you will be at the forefront of our AI initiatives, responsible for designing, developing, and deploying scalable AI/ML models for production. You will work on end-to-end machine learning pipelines, including fine-tuning LLMs and Indic TTS models, to build contextual memory and a great user experience for millions of users in India.
Role Responsibilitie
- sDesign, develop, and deploy scalable AI/ML models and algorithms for production
- .Work on end-to-end machine learning pipelines — from data preprocessing to model evaluation and deployment
- .Implement and fine-tune Large Language Models (LLMs) and Indic Text-to-Speech (TTS) models
- .Collaborate with cross-functional teams to integrate AI capabilities into existing products and workflows
- .Optimize models for performance, scalability, and accuracy, and monitor deployed models for data drift and performance issues
**.
Required Qualificatio**
- nsBachelor's or Master's degree in Computer Science, Data Science, or a related field from a Tier 1 college (NIT, IIT, BITS
- ).2+ years of experience in developing and deploying machine learning or deep learning solution
- s.Strong programming skills in Python with proficiency in AI/ML frameworks (TensorFlow, PyTorch) and data processing libraries (NumPy, Pandas
**).
Preferred Qualificati**
- onsExperience with Vector Databases, LangChain, MLOps practices (Git, CI/CD), and API development (FastAPI/Flas
- k).Past experience with fine-tuning and deploying fast Indic TTS mode
**ls.
Good to**
- HaveFamiliarity with containerization technologies like Docker and Kubernetes and experience with cloud platforms (AWS, GCP, or Azu
- re).A portfolio of publications, a strong Kaggle profile, or contributions to open-source AI proje
cts.
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