Company Description Gyanindit Pvt. Ltd. is dedicated to harnessing the transformative power of knowledge and expertise to help individuals and organizations achieve their goals. Guided by the motto "Encouraging Empowerment," the company focuses on delivering expert services that enable professional growth and organizational optimization.

Gyanindit envisions a world where everyone has access to the tools, guidance, and support needed to succeed. Its mission centers on providing tailored resources and technology-driven solutions that make a meaningful difference in careers, businesses, and innovation.

? We're Hiring: Senior AI Engineer

? Location: Bangalore (Work From Office)

? Experience: 6–9 Years

? CTC: ₹25–32 LPA

⏳ Notice Period: Immediate Joiners or up to 10 Days only

? Interview Process: Screening + 1 Face-to-Face Technical Round

We're looking for an experienced Senior AI Engineer to build and deploy next-generation AI solutions using LLMs, Generative AI, NLP, Vector Databases, and Graph AI .

Key Responsibilities

- Design, develop, fine-tune, and deploy AI/ML models for production environments.
- Build scalable Generative AI and LLM-powered applications.
- Implement Retrieval-Augmented Generation (RAG) and AI retrieval systems.
- Optimize Large Language Models using LoRA, QLoRA, and PEFT .
- Work with Graph Databases and Vector Databases for AI applications.
- Collaborate with cross-functional teams and mentor junior engineers.
- Drive AI innovation while ensuring scalable and reliable ML solutions.





Required Skills ✔ 6–9 years of experience in AI/ML, NLP, or Generative AI

✔ Strong expertise in Python with NumPy, Pandas, and Scikit-learn

✔ Hands-on experience with TensorFlow, PyTorch, and Hugging Face

✔ Experience fine-tuning Large Language Models (LLMs) using LoRA, QLoRA, and PEFT

✔ Robust understanding of Transformers, GANs, Diffusion Models, and Deep Learning

✔ Experience with Graph Databases (Neo4j, TigerGraph)

✔ Experience with Vector Databases (Pinecone, Weaviate, Milvus, FAISS, ChromaDB)

✔ Expertise in NLP, RAG, Retrieval Systems, and Multimodal AI

✔ Experience deploying ML models on AWS, Azure, or GCP

Preferred Skills

- Knowledge of MLOps , CI/CD for AI, and model monitoring
- Experience with multimodal AI applications
- Open-source contributions or AI research publications
- Understanding of AI ethics and data privacy principles

Education

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Who Should Apply? We are looking for professionals who can independently build production-grade AI solutions, solve complex machine learning challenges, and contribute to the growth of advanced AI platforms.

? Interested candidates can apply here .

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📌 Senior AI Engineer (Bengaluru)
🏢 Gyanindit
📍 Bengaluru