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Senior Data Scientist – Generative AI / Agentic AI / NLP

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🛡️ Verified Career Listing Directly reviewed and cross-referenced with hiring sources.

Zeeglo Software Private Limited

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🎓 Data Scientist
📍 Bangalore
💼 4 - 5 years
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Zeeglo Software Private Limited is hiring a Senior Data Scientist specializing in Generative AI, Agentic AI, and NLP for its Bangalore team. The position requires 4–5 years of experience and follows a hybrid work model with three days in the office. Candidates should have strong expertise in Python, Machine Learning, NLP, LLMs, RAG, embeddings, semantic search, and Agentic AI frameworks. Experience with LangChain, LangGraph, vector databases, PyTorch, Hugging Face, and production AI deployment is required. Cloud, containerization, MLOps/LLMOps, fine-tuning, and multimodal AI experience are additional advantages.

Job Overview

Particulars Details
Position Senior Data Scientist – Generative AI / Agentic AI / NLP
Company Zeeglo Software Private Limited
Location Bangalore
Job Type Full-Time
Experience 4 - 5 years
Category / Department Data Scientist
Application Mode Email

🏢 About Zeeglo Software Private Limited

Company Overview:
Zeeglo Software Private Limited is a technology company specializing in full-cycle product development. The company transforms innovative ideas into user-centric software solutions and provides services covering planning, design, development, deployment, and ongoing support.

The company states that it has delivered more than 50 projects and follows an Agile development methodology, with a focus on scalable digital products, innovation, quality, and long-term client partnerships.

Company Mission:
To empower businesses with innovative technology solutions that drive growth, improve efficiency, and create lasting value while building long-term partnerships with clients.

Company Vision:
Not Provided

Core Values / Principles
Innovation
Excellence
Client-focused solutions
Quality
Collaboration
Long-term partnerships
Agile development

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📍
Office Location

H No 5 252, Opp Old Post Office, Beejadi, Kundapura, Udupi, Karnataka - 576222

Senior Data Scientist – Generative AI / Agentic AI / NLP Banner

💡 Editor's Note / Preparation Tip

Resume Tips:
Highlight 4–5 years of relevant Data Science and AI experience.
Clearly showcase Generative AI, LLM, NLP, and Agentic AI projects.
Mention specific LLMs such as Llama, Mistral, Gemma, or Qwen that you have worked with.
Highlight RAG pipelines, embeddings, semantic search, and vector database experience.
Include LangChain, LangGraph, LlamaIndex, PyTorch, and Hugging Face where applicable.
Showcase production deployment experience using vLLM, Ollama, or similar technologies.
Add measurable results from AI projects.

Interview Preparation:
Revise LLM architecture and inference concepts.
Prepare detailed explanations of RAG pipelines.
Review embeddings, semantic search, chunking, vector databases, and retrieval strategies.
Understand Agentic AI concepts and frameworks such as LangChain and LangGraph.
Prepare practical Python, Machine Learning, and NLP questions.
Review LLM fine-tuning, LoRA, and QLoRA concepts.
Be prepared to discuss production deployment and scalability of AI applications.
Review MLOps/LLMOps concepts and tools mentioned in the job description.

Professional Tips:
Focus your resume on production-level AI systems rather than only academic projects.
Include architecture diagrams or GitHub/project links where appropriate.
Clearly differentiate hands-on skills from theoretical knowledge.
Highlight experience with enterprise-scale or production AI deployments.
Be prepared to discuss how you evaluate LLM and RAG system performance.
Mention your availability for a hybrid role requiring three office days.

📝 Job Description

Position Details:
Zeeglo Software Private Limited is seeking a Senior Data Scientist with strong expertise in Generative AI, Agentic AI, and Natural Language Processing. The selected candidate will work on advanced AI solutions involving large language models, retrieval-augmented generation, semantic search, AI agents, and production AI deployment.

The role requires hands-on experience with Python, Machine Learning, NLP, modern LLMs, RAG architectures, embeddings, vector databases, and AI development frameworks. Candidates should also be comfortable working with technologies such as LangChain, LangGraph, PyTorch, Hugging Face, LlamaIndex, vLLM, and Ollama.

Benefits / Compensation
Opportunity to work on Generative AI and Agentic AI solutions.
Exposure to modern LLM technologies and AI frameworks.
Opportunity to work on scalable digital products.
Agile development environment.
Salary/compensation: Not Provided.

Candidate Requirements:
4–5 years of relevant experience.
Strong Python programming skills.
Strong Machine Learning and NLP knowledge.
Experience with Generative AI and LLMs.
Hands-on experience with RAG, embeddings, and semantic search.
Experience with Agentic AI frameworks.
Experience with vector databases.
Experience with production AI deployment.
Strong understanding of AI/ML development practices.

Preferred Skills:
Llama, Mistral, Gemma, Qwen
LangChain
LangGraph
FAISS
Pinecone
Qdrant
PyTorch
Hugging Face
LlamaIndex
vLLM
Ollama
AWS / Azure / GCP
Docker
Kubernetes
MLflow
Kubeflow
LangSmith
Weights & Biases
Fine-tuning
LoRA / QLoRA
Multimodal AI

Working Days & Hours:
Not Provided

How to Apply:
Interested candidates can share their resume at shrikanth@zeeglosoftware.com.

🎯 Key Responsibilities

  • Develop Generative AI and Agentic AI solutions.
  • Build and optimize NLP and Machine Learning applications.
  • Work with LLMs including Llama, Mistral, Gemma, and Qwen.
  • Design and implement RAG-based solutions.
  • Develop semantic search and embedding-based applications.
  • Build AI agents using frameworks such as LangChain and LangGraph.
  • Work with vector databases including FAISS, Pinecone, and Qdrant.
  • Develop and deploy production-ready AI applications.
  • Work with PyTorch, Hugging Face, LlamaIndex, vLLM, and Ollama.
  • Contribute to AI model fine-tuning and optimization where required.
  • Collaborate on scalable digital product development.

💡 Required Qualifications & Skills

Python Machine Learning Natural Language Processing Generative AI Large Language Models RAG Embeddings Semantic Search LangChain LangGraph Agentic AI Vector Databases PyTorch Hugging Face LlamaIndex vLLM / Ollama Production AI Deployment
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🚀 Career Guidance & Interview Insights

To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.

This Senior Data Scientist – Generative AI / Agentic AI / NLP role offers a dynamic work environment designed for professional growth. You will collaborate with experienced professionals, contribute to critical projects, and build transferable skills in communication, project management, and strategic execution. It is an excellent step for anyone seeking to advance their career.

Expected Career Progression Roadmap:

Standard career growth starts in Junior/Associate executive roles, mastering foundational deliverables. After 3-5 years, professionals move to Senior Coordinator or Team Lead, supervising projects. Long-term progress leads to General Manager, Business Unit Director, and executive management roles focused on strategic organizational growth.

Expected Technical & Behavioral Questions:

  • Q1: How do you handle working under tight deadlines with competing priorities?
    Answer Tip: Discuss task prioritization, breaking down assignments, eliminating distractions, and proactively communicating roadblocks to the manager.
  • Q2: Describe a time you resolved a conflict with a co-worker.
    Answer Tip: Emphasize active listening, finding common ground, keeping communication professional, and focusing on business outcomes.
  • Q3: What methods do you use to track your daily progress and productivity?
    Answer Tip: Mention checklists, time-blocking, task management apps (like Trello/Asana), and reviewing daily outcomes against weekly goals.
💡 Pro-Tip: Before your interview, research the company's recent news, product launches, and Glassdoor work reviews. Prepare 2-3 thoughtful questions for the interviewer regarding team dynamics and success metrics for this role.

To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:

  • Keywords to include: Project Management, Stakeholder Communication, Time Management, Problem Solving, MS Office Suite, Documentation, Collaboration.
  • Format: Keep the resume to 1-2 pages maximum. Use standard fonts like Inter, Arial, or Calibri (10-12pt text).
  • Quantify Results: E.g., 'Managed 3 cross-functional team projects, delivering all milestones 2 weeks ahead of schedule.'
Estimated Market Compensation in India:

Estimated compensation for this role type in India is ₹3,60,000 - ₹6,50,000 per annum. The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.

Suggested Professional Certifications:

To boost your professional profile, look into: Project Management Professional (PMP), CAPM from PMI, Certified ScrumMaster (CSM), or advanced business communications and spreadsheet management credentials.

Contact Email: shrikanth@zeeglosoftware.com

Frequently Asked Questions

What position is Zeeglo Software hiring for?
Zeeglo Software is hiring for a Senior Data Scientist – Generative AI / Agentic AI / NLP.
How much experience is required?
The position requires 4–5 years of experience.
Where is the position located?
The position is based in Bangalore.
Is the position remote?
No. The role is hybrid and requires three days in the office.
What are the primary technical areas required?
Python, Machine Learning, NLP, Generative AI, LLMs, RAG, embeddings, semantic search, and Agentic AI are key areas.
Which LLMs are mentioned in the requirements?
The role mentions Llama, Mistral, Gemma, and Qwen.
Which vector databases are preferred?
FAISS, Pinecone, and Qdrant are mentioned.
Which AI frameworks are required?
LangChain and LangGraph are specifically mentioned, along with LlamaIndex and other AI/ML technologies.
Are cloud and MLOps skills mandatory?
AWS/Azure/GCP, Docker, Kubernetes, MLOps/LLMOps tools, fine-tuning, and multimodal AI are listed as good-to-have skills.
How can candidates apply?
Candidates can send their resume to shrikanth@zeeglosoftware.com.

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