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Generative AI Engineer
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Company Description
Analytics Avenue is India's leading EdTech and Data Analytics Services company, empowering over 500 professionals nationwide. We provide industry-aligned education, real-world project training, and global freelancing opportunities for aspiring data professionals. Through our enterprise arm, Advanced Analytics, we deliver custom-built, scalable, and profit-driven analytics solutions to 20+ global clients across various sectors. Our team of expert Data Scientists, Engineers, and Digital Specialists are dedicated to building data-driven careers and businesses.
Key Requirements:
- 2+ years of hands-on experience in Python and AI/ML frameworks (PyTorch / TensorFlow).
- Strong knowledge of Generative AI models (GPT, LLaMA, Claude, Gemini, Mistral, etc.).
- Experience with RAG pipelines and vector databases (Pinecone, Chroma, FAISS, Weaviate).
- Ability to deploy & scale AI solutions on cloud platforms (AWS / GCP / Azure).
- Understanding of MLOps, Docker, Kubernetes, and APIs.
- Passion for automation, optimization, and production-ready AI engineering.
- Understanding of
MLOps, Docker, Kubernetes, and APIs. - Experience in fine-tuning LLMs and working with open-source model hubs (Hugging Face, OpenRouter, etc.).
- Hands-on experience with LangChain / LlamaIndex for building production RAG systems.
Role Highlights:
You will:
Design, fine-tune, and deploy cutting-edge Generative AI applications.
Build scalable RAG pipelines and integrate vector search for real-world use cases.
Automate deployment, monitoring, and performance optimization.
Contribute directly to AI-powered products that drive innovation and scale.
Location: [Hybrid / Onsite]
To Apply: Drop an email to
Let's build powerful, scalable, and impactful AI solutions together
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