Data Scientist
Job Description
Data Scientist
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he Junior GenAI Data Scientist who is a fresher and will assist in developing, testing, and deploying AI chatbots, GenAI agents, and RAG-based applications. The role focuses on using Python, Large Language Models (LLMs), and structured and unstructured data to build practical AI solutions.
Key Expected Achievements:
- Develop basic GenAI agents using LangGraph, LangChain, or similar frameworks.
- Assist in building AI chatbot backends using LLMs and agent workflows.
- Work with structured data, documents, APIs, and databases.
- Build basic RAG pipelines for document search and question answering.
- Write clean and reusable Python code.
- Test chatbot responses for accuracy and reliability.
- Assist with deployment, debugging, logging, and error handling.
- Collaborate with team members and maintain technical documentation.
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About Company
Skills:
Machine Learning, C++, Windows, Tensorflow, Deep Learning, Nlp, Git, Pandas, Linux, Pytorch, Python, Computer Vision
Skills:
Clustering, Python, Sql, Regression, ML fundamentals, Statistics, anomaly detection, time-series, Classification
Skills:
Terraform, Python, Sql, Agentic AI, CI/CD, Containerisation
Skills:
Customer Data Platforms (CDP), Google Cloud Storage (GCS), Ms Excel, Machine Learning, BigQuery, Python, Sql, VertexAI, Data Analysis, Statistics
Skills:
Machine Learning, Kafka, Sql, Deep Learning, Tensorflow, Azure ML, Pytorch, Spark, Databricks, Python, GenAI LLMs, scikit-learn, MLflow, Vector Databases, SageMaker, Embeddings, Agentic AI, Kubeflow, RAG, Classical ML