Description:

Lead the design, development, and deployment of GenAI and LLM-powered solutions across cloud platforms.
Collaborate with engineering, data, and product teams to deliver high-impact AI capabilities.

Requirements:

5–8+ years of experience in AI/ML engineering or cloud-based AI development.
Strong proficiency with Python and AI/ML frameworks (PyTorch, TensorFlow, JAX).
Hands-on experience with LLMs, transformers, embeddings, and fine-tuning techniques.
Expertise with cloud platforms (AWS, Azure, or GCP) and services supporting AI workloads.
Experience with vector databases (Pinecone, Weaviate, FAISS) and RAG architectures.
Strong understanding of MLOps, CI/CD, containers, and orchestration (Docker, Kubernetes).
Familiarity with GPU optimization, distributed compute, and model performance tuning.

High-impact role shaping the future of GenAI and cloud-native AI systems.
Opportunity to work with cutting-edge LLMs, cloud platforms, and emerging AI technologies.
Collaborative, innovative, and growth-driven environment.

Skills