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Senior Data Science Lead

Senior Data Science Lead

Brillio

8 - 12 years

0 Lacs

chennai tamil nadu

Posted:22 hours ago| Platform: Shine logo

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Skills Required

hypothesis testing arima svm business impact analysis capability building ttest ztest regression linear logistic pythonpyspark sasspss statistical analysis computing probabilistic graph models great expectation evidently ai forecasting exponential smoothing arimax toolskubeflow bentoml classification decision trees ml frameworks tensorflow pytorch scikit learn cntk keras mxnet distance hamming distance euclidean distance manhattan distance r r studio langgraph reinforcement learning rlhfrlaif llm orchestration knowledge graphs ai planning goaldirected behavior vector databases pinecone weaviate faiss retrievalaugment

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Data Science Lead, your primary skills should include: - Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic) - Proficiency in Python/PySpark, SAS/SPSS - Statistical analysis and computing - Familiarity with Probabilistic Graph Models, Great Expectation, Evidently AI - Experience in Forecasting (Exponential Smoothing, ARIMA, ARIMAX) - Knowledge of Tools like KubeFlow, BentoML - Expertise in Classification (Decision Trees, SVM) - Familiarity with ML Frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet - Understanding of Distance metrics like Hamming Distance, Euclidean Distance, Manhattan Distance - Knowledge of R/ R Studio In this role as the Agentic AI Lead, you will be responsible for driving the research, development, and deployment of semi-autonomous AI agents to tackle complex enterprise challenges. Your key responsibilities will include: - Architecting & Scaling Agentic AI Solutions: - Designing and developing multi-agent AI systems using LangGraph for workflow automation - Building memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains - Defining and implementing scalable architectures for LLM-powered agents that integrate with enterprise applications - Hands-On Development & Optimization: - Developing and optimizing agent orchestration workflows using LangGraph - Implementing knowledge graphs, vector databases, and retrieval-augmented generation techniques - Applying reinforcement learning methodologies to fine-tune AI agents for improved decision-making - Driving AI Innovation & Research: - Leading cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents - Staying ahead of advancements in multi-agent systems and AI planning - Prototyping and experimenting with self-learning AI agents for autonomous adaptation - AI Strategy & Business Impact: - Translating Agentic AI capabilities into enterprise solutions for automation and cost savings - Leading Agentic AI proof-of-concept projects that demonstrate tangible business impact - Mentorship & Capability Building: - Leading and mentoring a team of AI Engineers and Data Scientists - Establishing best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents Overall, you will play a pivotal role in the development and implementation of advanced AI solutions that drive business impact and innovation within the organization.,

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Senior Data Science Lead