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79 Next Sphere Technologies Jobs

Senior Data Scientist Engineer

4-7 years

Hyderabad / Secunderabad, Bangalore / Bengaluru

1 vacancy

Senior Data Scientist Engineer

Next Sphere Technologies

posted 9hr ago

Job Description

We are seeking an experienced Agentic Automation Engineer to join our team. The ideal candidate will have expertise in Conversational AI, specifically working with LLM-based conversational AI models. This role requires strong configuration skills and the ability to problem-solve while being aware of the constraints of such models.

Essential functions

Key Responsibilities

Develop and implement LLM-based conversational AI solutions
Configure and optimize AI models for specific use cases
Troubleshoot and resolve issues related to AI model performance
Stay up to date with the latest advancements in LLM technologies and apply them to our projects

Qualifications

Experience with the following LLM-related technologies: ( At least 5 LLM technologies )

  1. Chunking

  2. Document Parsing and OCR

  3. Document Parsing with VLMs (Vision Language Models)

  4. Function Calling with LLMs

  5. Building Agentic Chains

  6. Memory Handling (Conversational Memory) and Tracking / Tracing Software Agents

  7. Map Reduce applied to RAG

  8. Retrieval Augmented Generation

  9. Traditional Search (BM25, NER based parsers, Keyword based search index)

  10. Semantic Search (Embeddings, Embedding models)

  11. Quantized Embeddings

  12. Reference Management

  13. Re-ranking references

  14. Re-ranking retrieved chunks

  15. Multimodal RAG

  16. Cost reduction techniques for LLMs

  17. Speculative Decoding

  18. Speech to Text using Whisper or similar models

  19. Text to SQL/Text to Pandas

  20. Monte Carlo Tree Search, Tree of Thoughts, Chain of Thoughts, Reasoning Enhancement Techniques for LLMs

Machine Learning Skills

Experience with the following ML techniques: ( At least 3 ML Skills )

  1. Fine Tuning using LoRA

  2. Merging multiple LoRA adapters using MergeKit

  3. Quantising LLMs

  4. Quantising LoRA adapters

  5. Creating Table Schemas suitable for LLMs

  6. Code Folding for Coding LLMs

  7. Implementation of Code Interpreters (E.g., E2B Dev)

Required Knowledge

Understanding of differences between code-focused LLMs, Completion LLMs, and Chat variants of LLMs

Framework Experience ( At least 3 frameworks )
  1. E2B Dev - Code Interpreters

  2. DSPY - Automation of Prompt Engineering

  3. Lang chain

  4. OpenAI APIs, Claude APIs

  5. Guidance (For Prompt Following reliability)

  6. OpenAI whisper for STT

Would be a plus

Strong attention to detail
Ability to work independently and as part of a team
Excellent communication skills to explain complex technical concepts
Proactive learner, keeping up with the rapidly evolving field of AI

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office


Employment Type: Full Time, Permanent

Read full job description

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Flexible timing
Monday to Friday
No travel
Day Shift
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Next Sphere Technologies Benefits

Health Insurance
Job Training
Work From Home
Free Food
Team Outings
Soft Skill Training +6 more
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