Bangalore

2 - 7 years

Degree in a quantitative field (CS, Math, Stats, Eng)

Apply now or send your resume to [email protected]

Roles and Responsibilities:

- Understand business context and apply suitable Agentic AI/ GenAI / Deep Learning / Machine Learning algorithms
- Understand the data sources, data collection and data wrangling requirements
- Develop appropriate data pipelines for structured and unstructured data
- Test, Deploy, maintain & re-train predictive and generative models
- Apply advanced Agentic AI and MLOps techniques to ensure scalability and reliability of applications

Knowledge and Skill Requirement:

- Advanced (PhD/Masters/Bachelors) degree in a Statistics, Engineering, Mathematics field, Computer Science or other relevant - disciplines
- Excellent conceptual understanding of Agentic AI, GenAI, Multi Modal Engines,



Machine Learning and Deep Learning algorithms
- Must have strong experience in SQL, Python
- Robust hands on Machine Learning experience across Classification, Clustering, Regression, Ensemble Algorithms, Naive Bayes, Time Series etc
- Solid understanding of Statistical/ Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments, Data Structures
- Knowledge in LLMs, AI Agents, CNNs, RNNs, GANs, LLMs, NLP Applications, Computer Vision Applications, LSTMs, GRUs
- Experience working in a Cloud environment is a plus, not mandatory. Building Restful APIs with Flask, Docker Deployments is a plus, not mandatory

Apply now or send your resume to [email protected]

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