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krtrimaiq cognitive solutions
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krtrimaiq cognitive solutions logo

krtrimaiq cognitive solutions

https://www.krtrimaiq.ai/
Founded :
2019
Type :
Products & Services
Size :
20-100
Stage :
Profitable

About

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Company social profiles

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Jobs at krtrimaiq cognitive solutions

krtrimaiq cognitive solutions
at krtrimaiq cognitive solutions
Arun Kumar
Posted by Arun Kumar
Bengaluru (Bangalore)
5 - 8 yrs
₹5L - ₹18L / yr
Finetuning
Retrieval Augmented Generation (RAG)
RAG
Large Language Models (LLM)
Generative AI
+3 more

Job description

Job Title: AI Engineer

 Location: Bangalore (Hybrid)

 Experience: 5+ years

 Employment Type: Full-time

Company Overview:

 Join KrtrimaIQ Cognitive Solutions, a leading AI/ML company enabling intelligent enterprises through advanced technologies like machine learning, NLP, computer vision, and automation. Be part of a dynamic team transforming data into powerful business decisions.

Key Responsibilities:

Design, develop, and deploy AI/ML models using Large Language Models (LLMs) and Multimodal LLMs.

Work on building and optimizing Retrieval-Augmented Generation (RAG) pipelines for real-world use cases.

Implement and fine-tune transformer models using Hugging Face and PyTorch.

Conduct experiments, benchmark models, and continuously improve performance and scalability.

Collaborate with data engineers and product teams to integrate AI models into production environments.

Stay updated with the latest advancements in generative AI, LLM architectures, and open-source frameworks.

Required Skills:

Strong hands-on experience with LLMs (GPT, LLaMA, Mistral, etc.) and Multimodal models (e.g., CLIP, Flamingo).

Expertise in PyTorch and Hugging Face Transformers.

Proficiency in building RAG-based solutions, integrating vector databases like FAISS, Pinecone, or Weaviate.

Solid understanding of deep learning concepts, NLP, and model evaluation techniques.

Experience in deploying and scaling AI models in production environments.

Good programming skills in Python and familiarity with APIs and ML Ops tools.

Preferred Qualifications:

Master's or Bachelor's degree in Computer Science, AI, Data Science, or related fields.

Experience with distributed computing and cloud platforms (AWS/GCP/Azure).

Contributions to open-source projects or research papers in the AI/ML domain.

Why Join Us?

Cutting-edge AI/ML projects

Flexible hybrid work culture

Competitive compensation and benefits

Opportunity to grow in a rapidly scaling AI company



#aiengineer #aijobs #RAG #Huggingface #NLP #Pytorch #machinelearning #llm #finetuning #immediatejoiner #hybridlocation #bangalorelocation

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