Hybrid
Full-Time
Bangalore Urban, Karnataka
India
Skills
Artificial Intelligence (AI)
Snowflake
About the Role
Key responsibilities
Work on vector databases (Pinecone, Weaviate, FAISS) for efficient retrieval-augmented generation (RAG).
Implement AI-based automation solutions for enterprise applications, including agentic multi-agent architectures with tool integration (API calls, Text-to-SQL).
Design, train, and fine-tune Generative AI models, including LLMs diffusion models, and transformer-based architectures.
Implement prompt engineering and fine-tuning strategies for domain-specific AI applications.
Develop multimodal AI models solutions.
Stay up to date with cutting-edge research in NLP, computer vision (OCR), and Generative AI.
Skills
5+ years of experience in application development with 2+ years of experience with generative AI solutions projects.
Hands-on experience with Generative AI models, including LLMs (GPT-4, BERT, T5), GANs, and VAEs.
Strong experience with data manipulation libraries (Pandas, NumPy, Dask).
Understanding of SQL, NoSQL, vector databases (FAISS, Pinecone, Weaviate), and Graph Databases (Neo4J, Azure Cosmos).
Understanding of different RAG indexing strategies such as Inverted File (IVF) and HNSW.
Familiarity with Reinforcement Learning (RLHF) and transfer learning techniques.
Experience with ML libraries like Huggingface Transformers, OpenAI API, LangChain, LangGraph, Scikit Learn, NLTK.
Understanding of Azure cloud, DevOps, and Azure AI Foundry.
Familiarity with multimodal AI (text-to-image, text-to-video, speech-to-text models).
Note: Please don't apply if you are not having 5+ years of experience into the same.
Work on vector databases (Pinecone, Weaviate, FAISS) for efficient retrieval-augmented generation (RAG).
Implement AI-based automation solutions for enterprise applications, including agentic multi-agent architectures with tool integration (API calls, Text-to-SQL).
Design, train, and fine-tune Generative AI models, including LLMs diffusion models, and transformer-based architectures.
Implement prompt engineering and fine-tuning strategies for domain-specific AI applications.
Develop multimodal AI models solutions.
Stay up to date with cutting-edge research in NLP, computer vision (OCR), and Generative AI.
Skills
5+ years of experience in application development with 2+ years of experience with generative AI solutions projects.
Hands-on experience with Generative AI models, including LLMs (GPT-4, BERT, T5), GANs, and VAEs.
Strong experience with data manipulation libraries (Pandas, NumPy, Dask).
Understanding of SQL, NoSQL, vector databases (FAISS, Pinecone, Weaviate), and Graph Databases (Neo4J, Azure Cosmos).
Understanding of different RAG indexing strategies such as Inverted File (IVF) and HNSW.
Familiarity with Reinforcement Learning (RLHF) and transfer learning techniques.
Experience with ML libraries like Huggingface Transformers, OpenAI API, LangChain, LangGraph, Scikit Learn, NLTK.
Understanding of Azure cloud, DevOps, and Azure AI Foundry.
Familiarity with multimodal AI (text-to-image, text-to-video, speech-to-text models).
Note: Please don't apply if you are not having 5+ years of experience into the same.