Data Science Lead - R01553733

undefined ago • 10-12 Years • Data Analysis

Job Summary

Job Description

This role is for a Data Science Lead with 10-12 years of experience, including 3+ years in leadership, focusing on AI/ML and conversational AI. The lead will be responsible for architecting solutions, with strong skills in dialogue design, NLU, and various AI platforms like RASA, Kore.ai, and IBM Watson. The position requires expertise in Python, SQL, ML libraries, cloud platforms (Azure, GCP), LLM agent frameworks, prompt engineering, and RAG pipelines.

Must have:

10-12 years in data science, AI/ML, with 3+ years in leadership.
Proven experience with chatbot development using LLMs and agent frameworks.
Proficiency in Python, SQL, and key ML libraries (scikit-learn, PyTorch, TensorFlow).
Deep hands-on experience with Azure (ML, Cognitive Services) and GCP (Vertex AI, AutoML, BigQuery).
Solid understanding of prompt engineering, tool use chaining, and contextual memory in AI agents.
Working experience with Agent space.
Familiarity with vector databases (Pinecone, Weaviate, FAISS) and RAG pipelines.
Strong communication and stakeholder management skills.
Expertise in Dialogue Design, Syntax/semantic analysis, Reinforcement learning, Text Classification.
Experience with RASA, NLU, Kore.ai, GDF, IBM Watson.
Knowledge of ASR, Dialogue Management (NLG), Spark NLP, Recurrent Neural Networks, Conv AI Testing.

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

team-management

game-texts

react

azure

text-classification

spark

data-science

scikit-learn

pytorch

reinforcement-learning

automl

neural-networks

python

sql

tensorflow

Job Details

Primary Skills

Dialogue Design, Syntax and semantic analysis, Reinforcement learning, Text Classification, Governance for Conversational AI, RASA, Natural Language Understanding (NLU), Kore.ai, GDF (Google Dialog Flow), IBM Watson, Automatic Speech Recognition (ASR), Dialogue Management (NLG), Spark NLP, Recurrent Neural Networks, Conv AI Testing

Job requirements

10-12 years in data science, AI/ML, or related field, with 3+ years in a leadership capacity. Proven experience with chatbot development using LLMs and agent frameworks (e.g., LangChain, ReAct, OpenAI functions, semantic memory agents). Proficiency in Python, SQL, and key ML libraries (e.g., scikit-learn, PyTorch, TensorFlow). Deep hands-on experience with Azure (e.g., Azure ML, Cognitive Services) and GCP (e.g., Vertex AI, AutoML, BigQuery). Solid understanding of prompt engineering, tool use chaining, and contextual memory in AI agents. Working Experience with Agent space. Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) pipelines. Strong communication and stakeholder management skills.