Senior AI / ML Engineer

We are seeking an AI/ML Engineer with hands-on experience in "Generative AI (GenAI) as well as broader MLOps expertise". This role will focus on designing, training, and deploying AI/ML solutions at scale—especially Large Language Model (LLM)–based applications—while ensuring robust, production-ready ML pipelines and processes. Job description: 1. Generative AI & LLM Development Design, develop, fine-tune, and deploy "large-scale machine learning models (LLMs)" using frameworks/tools such as "OpenAI APIs" , Ollama, Qdrant, etc. ○ Implement Retrieval-Augmented Generation "(RAG)" techniques for optimizing knowledge retrieval and improving model outputs. 2. ML Pipeline & MLOps ○ Build and maintain end-to-end ML pipelines, from data preparation through model training, validation, deployment, and monitoring. ○ Establish and manage model repositories (e.g., "MLflow, Model Registry") to ensure versioning, reproducibility, and reliable rollbacks. ○ Collaborate on continuous integration/continuous deployment "(CI/CD)" processes specific to AI/ML workflows. 3. Infrastructure & Deployment Containerize and deploy models in "Kubernetes" environments (using Helm or similar tools) following DevOps best practices. ○ Integrate model performance monitoring, logging, and alerting solutions to ensure high availability and scalability. 4. AI Workflow Automation & Agents ○ "Build AI-driven agents" , leveraging automation tools (e.g., n8n) for orchestrating tasks and real-time data flows. Connect company datasets securely to GenAI systems and ensure robust data handling and version control. 5. Innovation & Best Practices ○ Stay current with emerging AI/ML and MLOps trends, evaluating new open-source frameworks and tools to enhance the organization’s tech stack. ○ Provide guidance on optimizing ML workflows, including hyperparameter tuning, distributed training, and efficient inference.