Senior AI/Data Science Engineer
INR 3264K-5500K (estimate) Senior-level Full Time
Tasks
- Apply software engineering and MLOps practices
- Build and maintain machine learning pipelines
- Build generative AI solutions
- Collaborate with architects and data engineers
- Communicate insights to technical and non-technical audiences
- Conduct design reviews and guide solution quality
- Create reusable frameworks accelerators standards and best practices
- Define evaluation performance bias and monitoring frameworks
- Develop APIs reusable libraries and enterprise AI services
- Develop descriptive, diagnostic, predictive, and prescriptive models
- Develop production ready code and enterprise AI applications
- Embed deployed solutions into business processes
- Lead AI product delivery to production
- Lead end to end delivery of advanced analytics and machine learning solutions
- Mentor and coach data science and analytics professionals
- Optimize AI products for performance reliability security maintainability
- Perform exploratory analysis experimentation feature engineering optimization and A B testing
- Translate business objectives into analytics and AI solutions
- Use cloud platforms and distributed computing
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Agentic AI | B testing | Bias Assessment | CI/CD | Data Analysis | Deep learning | Experimentation | Exploratory Data Analysis | Feature Engineering | Generative AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | TensorFlow | Version control | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | MBA | Master of Science
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