Solution Architect
Job Summary
We are seeking a highly experienced Senior AI/ML & Generative AI Engineer to design, build, and deploy production-grade AI/ML and GenAI solutions. The ideal candidate will have deep hands-on expertise in LLMs, agentic and multimodal AI systems, and end-to-end MLOps pipelines, along with strong cloud and Kubernetes deployment experience. This role requires close collaboration with cross-functional teams and the ability to mentor engineers while delivering scalable, high-impact AI solutions.
Roles & Responsibilities
AI/ML & GenAI Development.
MLOps & Production Deployment
Data Engineering & APIs
Collaboration & Leadership
Primary Skills (Must Have)
AI/ML & GenAI Solution Development
Hands-on experience designing, building, and deploying AI/ML and GenAI solutions using:
TensorFlow, PyTorch, Hugging Face, LangChain
Strong experience developing agentic AI systems and multimodal AI solutions (text, image, audio) for use cases such as:
Customer engagement and conversational AI
Solid understanding of LLM architectures, embeddings, RAG pipelines, vector databases, and inference optimization.
MLOps & Cloud Deployment
Strong hands-on experience building end-to-end MLOps pipelines using:
MLflow, DVC, Kubeflow
CI/CD tools for model training, validation, and deployment
Proven experience deploying scalable AI/ML services on:
AWS, Azure, and Kubernetes platforms
Expertise in containerization and orchestration using Docker and Kubernetes.
Strong experience with Infrastructure as Code (IaC) using Terraform (Pulumi is a plus).