Job Summary

AI Architect Associate Director, 11-14 years, Hyderabad Bengaluru. LangGraph AutoGen CrewAI Python TensorFlow PyTorch Keras Cloud Docker Kubernetes IaC SQL NoSQL Distributed Systems APIs Microservices developing agents using LangGraph AutoGen and CrewAI. Proficiency in Python with robust knowledge of machine learning libraries and frameworks such as TensorFlow PyTorch and Keras. Proven experience with cloud computing platforms AWS Azure Google Cloud Platform for building and deploying scalable AI solutions. Hands-on skills with containerization Docker and orchestration frameworks Kubernetes including related DevOps tools like Jenkins and GitLab CICD. Experience using Infrastructure as Code IaC tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases e.g. PostgreSQL MongoDB Cassandra to manage structured and unstructured data. Expertise in designing distributed systems RESTful APIs GraphQL integrations and microservices architecture. Knowledge of event-driven architectures and message brokers e.g. RabbitMQ Apache Kafka to support robust intersystem communications. Familiarity with cutting-edge libraries such as Hugging Face Transformers OpenAIs API integrations and other domain-specific tools. Large-scale deployment of ML projects with good understanding of DevOps MLOps LLM Ops Training and fine tuning of Large Language Models or SLMs PALM2 GPT4 LLAMA etc.

Responsibilities

- Developing agents using LangGraph AutoGen and CrewAI

Requirements





- Proficiency in Python with robust knowledge of machine learning libraries and frameworks such as TensorFlow PyTorch and Keras
- Proven experience with cloud computing platforms AWS Azure Google Cloud Platform for building and deploying scalable AI solutions
- Hands-on skills with containerization Docker and orchestration frameworks Kubernetes including related DevOps tools like Jenkins and GitLab CICD
- Experience using Infrastructure as Code IaC tools such as Terraform or CloudFormation to automate cloud deployments
- Proficient in SQL and NoSQL databases e.g. PostgreSQL MongoDB Cassandra to manage structured and unstructured data
- Expertise in designing distributed systems RESTful APIs GraphQL integrations and microservices architecture
- Knowledge of event-driven architectures and message brokers e.g. RabbitMQ Apache Kafka to support robust intersystem communications
- Familiarity with cutting-edge libraries such as Hugging Face Transformers OpenAIs API integrations and other domain-specific tools
- Large-scale deployment of ML projects with positive understanding of DevOps MLOps LLM Ops
- Training and fine tuning of Large Language Models or SLMs PALM2 GPT4 LLAMA etc

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