AI Tech Lead

• Lead implementation and delivery of AI applications across teams.
• Design end-to-end AI architectures integrating open-source and enterprise tools.
• Translate business requirements into scalable AI solutions.
• Define architecture roadmaps and best practices.
• Build data pipelines, CI/CD, and monitoring systems.
• Deploy scalable systems using Docker and Kubernetes.
• Ensure performance, scalability, and security.
• Oversee full AI development lifecycle.
• Manage project timelines and risks.
• Mentor teams and drive knowledge sharing.

Key Skills:

• AI frameworks: LangGraph, AutoGen, CrewAI.
• Strong Python with TensorFlow, PyTorch, Keras.
• Knowledge of NLP & Deep Learning (RNN, CNN, LSTM, Transformers).
• Cloud platforms: AWS / Azure / GCP.
• Docker, Kubernetes, CI/CD tools.
• Terraform / CloudFormation (IaC).
• SQL & NoSQL databases.
• Distributed systems, REST APIs, GraphQL, microservices.
• Kafka / RabbitMQ or event-driven systems.

Preferred Qualifications:

• Hugging Face, OpenAI APIs, LLM integrations.
• MLOps / LLMOps experience.
• LLM fine-tuning (GPT, LLaMA, etc.).
• Monitoring tools: Prometheus, Grafana, ELK.
  • Cloud certifications (AWS/Azure/GCP).