Pune, Maharashtra, India
Information Technology
Full-Time
GeoIQ
Overview
Responsibilities
- 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.
- Optimize AI models for accuracy, scalability, and efficiency in production.
- Stay up to date with advancements in Generative AI, foundation models, and applied AI frameworks.
- Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- 1-2 years of experience in building and deploying AI applications.
- Strong proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and Scikit-learn.
- Hands-on experience with LLMs, embeddings, prompt engineering, or fine-tuning foundation models.
- Familiarity with cloud platforms (AWS, GCP, Azure)and containerization (Docker, Kubernetes a plus.
- Understanding of vector databases (Pinecone, Qdrant, Weaviate, FAISS)is desirable.
- Strong problem-solving skills with the ability to translate business needs into applied AI solutions
- Excellent communication and cross-team collaboration skills.
- Experience with Generative AI (LLMs, diffusion models, multimodal AI).
- Familiarity with RAG, orchestration frameworks (LangChain, LlamaIndex, Haystack).
- Exposure to MLOps/AI Ops practices and CI/CD pipelines for AI workflows.
- Contributions to AI/ML open-source projects.
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