Experience:

• 1-4 Years
• 1-2 years of experience in building and deploying AI applications

Qualification:

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

Role Focus:

• Design and implement AI-driven solutions across domains such as LLMs, Generative AI, NLP, and Computer Vision
• Research, prototype, and evaluate state-of-the-art AI models and architectures for real-world applications
• Build retrieval-augmented generation (RAG) pipelines and integrate AI models into customer-facing products
• Work with engineers and product teams to embed AI capabilities into platforms and workflows
• Optimise AI models for accuracy, scalability, and production efficiency
• Stay up-to-date with advancements in Generative AI, foundation models, and applied AI frameworks

Nice to have:

• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Understanding of vector databases (Pinecone, Qdrant, Weaviate, FAISS)
• Experience with Generative AI (LLMs, diffusion models, multimodal AI)
• Familiarity with RAG, orchestration frameworks (LangChain, LlamaIndex, Haystack)
• Exposure to MLOps/AIOps practices and CI/CD pipelines for AI workflows
• Contributions to AI/ML open-source projects

More skills:

embeddings, prompt engineering, fine-tuning foundation models, RAG, orchestration frameworks, MLOps/AIOps practices, CI/CD pipelines for AI workflows

Other:

• Join GeoIQ's data science team and contribute to building smarter variables that revolutionize decision-making for businesses across India
• Work in a dynamic and innovative environment with opportunities for professional growth and learning
• Be a part of our journey to make GeoIQ the leading hyperlocal location AI startup in India