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Jr. Data Scientist

2 weeks ago

Ahmedabad, Gujarat, India DeetsDigital Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Description:

We are seeking a talented and driven
Generative AI (GenAI) Engineer
with
2–6 years of experience
to join our growing AI innovation team in
Ahmedabad or Pune
. In this role, you'll work on cutting-edge projects involving
Large Language Models (LLMs)
and
Small Language Models (SLMs)
, with a focus on
Retrieval-Augmented Generation (RAG)
,
contextual similarity
, and transformer-based architectures like
BERT
.

Key Responsibilities:

  • Develop and optimize
    RAG pipelines
    , including modules for sorting, filtering, ranking, and
    re-ranking
    of retrieved data.
  • Work with both
    closed-source and open-source LLMs/SLMs
    to solve real-world business problems.
  • Implement
    Chain of Thought (CoT)
    reasoning to enhance model interpretability and output accuracy.
  • Design and apply
    contextual similarity
    ,
    graph-based RAG
    , and
    corrective RAG
    techniques to improve model relevance and trustworthiness.
  • Fine-tune and utilize
    BERT
    and other transformer models for embeddings, classification, and NLP tasks.
  • Develop scalable APIs and microservices using
    Flask
    to integrate GenAI functionality into applications.
  • Research and prototype emerging GenAI capabilities for integration into existing systems.
  • Collaborate cross-functionally with product managers, ML engineers, and software developers to deliver robust GenAI solutions.

Required Skills & Qualifications:

  • 2–6 years of hands-on experience in
    Python
    and AI/ML development.
  • Deep understanding of
    LLMs and SLMs
    , including implementation and integration strategies.
  • Experience with
    Retrieval-Augmented Generation (RAG)
    architecture and retrieval optimization techniques.
  • Proficiency in
    contextual similarity
    , vector-based search, and semantic relevance models.
  • Strong understanding of
    Chain of Thought (CoT)
    prompting and reasoning techniques.
  • Experience working with
    Graph RAG
    and
    Corrective RAG
    for enhanced model accuracy.
  • Familiarity with
    BERT
    and other transformer-based models for NLP use cases.
  • Practical experience building APIs using
    Flask
    or similar frameworks.

Preferred Qualifications:

  • Experience with
    vector databases
    (e.g., FAISS, Pinecone, Weaviate).
  • Familiarity with
    LangChain
    ,
    Haystack
    , or LLM orchestration tools.
  • Experience deploying GenAI solutions on cloud platforms (AWS, Azure, GCP).
  • Knowledge of prompt engineering, tokenization, and conversational memory.