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
• Strong 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