Senior Gen AI Engineer
Location
- Bangalore (Hybrid)
Experience
- 4+ years
Employment Type
- Full-time
Company Overview
Join KrtrimaIQ Cognitive Solutions, a leading AI/ML company enabling intelligent enterprises through advanced technologies such as:
- Machine Learning
- Natural Language Processing (NLP)
- Computer Vision
- 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.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for real-world use cases.
- Implement and fine-tune transformer models employing Hugging Face and PyTorch.
- Conduct experiments, benchmark models, and continuously enhance performance and scalability.
- Collaborate with data engineers and product teams to integrate AI models into production.
- Stay updated with the latest advancements in generative AI, LLM architectures, and open-source frameworks.
Required Skills
- Strong hands-on experience with LLMs (e.g., GPT, LLaMA, Mistral) 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, NLP, and model evaluation techniques.
- Experience 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 such as AWS, GCP, or Azure.
- Contributions to open-source projects or research papers in AI/ML domain.
Why Join Us?
- Engage in cutting-edge AI/ML projects.
- Enjoy flexible hybrid work culture.
- Receive competitive compensation and benefits.
- Opportunity to grow within a rapidly scaling AI company.
Hashtags
#aijob #ai/ml #pytorch #bangalorelocation #RAG #huggingface #aws #NLP #immediate joiner #LLM #hybridmode
Job Highlights
The candidate should possess extensive experience with large language models, multimodal models, and deep learning frameworks like PyTorch. Responsibilities include model development, deployment, and Optimization for real-world applications, with a focus on RAG pipelines and generative AI advancements.