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Fine-tune, prompt-engineer, and evaluate large language models for specific business use cases
Collaborate with product and engineering teams to integrate AI modules into production applications
Analyze large, unstructured datasets and derive meaningful insights
Stay updated on emerging trends in GenAI, foundation models, and open-source LLMs
Must-Have Skills:
Strong understanding of
LLMs
(OpenAI, Cohere, HuggingFace models, etc.)
Hands-on experience with
RAG pipelines
, vector databases (FAISS, Pinecone, etc.), and retrieval strategies
Proficient in
Python
and
machine learning libraries
(Transformers, LangChain, PyTorch/TensorFlow)
Experience in
data preprocessing
,
model evaluation
, and
deployment of NLP solutions
Ability to translate business requirements into scalable ML solutions
Good to Have:
Knowledge of cloud platforms (AWS/GCP/Azure)
Exposure to MLOps workflows and LLMOps tools
Experience with open-source LLMs (LLaMA, Mistral, etc.)
What We Offer:
Opportunity to work on impactful AI projects
Collaborative and innovative environment
Competitive compensation and growth opportunities
Job Types: Full-time, Freelance
Pay: ?700,000.00 - ?1,300,000.00 per year
Benefits:
Health insurance
Schedule:
Day shift
Work Location: In person
Expected Start Date: 28/07/2025
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