MLE with GenAI experience

4 days ago


Pune, Maharashtra, India stefanini groups Full time ₹ 15,00,000 - ₹ 25,00,000 per year
Job Description

Job ID#:

Job Category:
Data Scientist

Position Type:
Contract

Duration:
12 Months

Shift:
2

Remaining Positions:
1

Details:
Stefanini Group is a multinational company with a global presence in 41 countries and 44 languages, specializing in technological solutions. We believe in digital innovation and agility to transform businesses for a better future. Our diverse portfolio includes consulting, marketing, mobility, AI services, service desk, field service, and outsourcing solutions.

  • Experience in Deep learning engineering (mostly on MLOps)
  • Strong NLP/LLM experience and processing text using LLM
  • Proficient in Pyspark/Databricks & Python programming.
  • Building backend applications (data processing etc) using Python and Deep learning frameworks.
  • Deploying models and building APIs (FAST API, FLASK API)
  • Need to have experience working with GPUs.
  • Working knowledge of Vector databases like:
    1. Milvus
    2. Azure cognitive search
    3. Quadrant etc.
  • Experience in transformers and working with hugging face models like Llama, Mixtral AI and embedding models etc.
Job Requirements

Details:

  • Experience in Deep learning engineering (mostly on MLOps)
  • Strong NLP/LLM experience and processing text using LLM
  • Proficient in Pyspark/Databricks & Python programming.
  • Building backend applications (data processing etc) using Python and Deep learning frameworks.
  • Deploying models and building APIs (FAST API, FLASK API)
  • Need to have experience working with GPUs.
  • Working knowledge of Vector databases like:
    1. Milvus
    2. Azure cognitive search
    3. Quadrant etc.
  • Experience in transformers and working with hugging face models like Llama, Mixtral AI and embedding models etc.

Experience:
yrs

Location:
Pune - Hybrid

Good to have:

  • Knowledge and experience in Kubernetes, Docker etc.
  • Cloud Experience working with VMs and Azure storage.
  • Sound data engineering experience.
    #LI-ONSITE #LI-QM1

Pay Range:
$ $



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