AI Tech LeadAssociate Director12 yearsBengaluru HyderabadLangGraph AutoGen CrewAI Python TensorFlowPyTorchKeras Deep LearningNLP Cloud DockerKubernetes IaC SQLNoSQL APIs Microservices skills The ideal candidate should have a solid background in working or 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
Understanding of Deep learning and NLP algorithms RNN CNN LSTM transformers architecture etc
Proven experience with cloud computing platforms AWS Azure Google Cloud Platform for building and deploying scalable AI solutions
Handson 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 eg PostgreSQL MongoDB Cassandra to manage structured and unstructured data
Expertise in designing distributed systems RESTful APIs GraphQL integrations and microservices architecture Knowledge of eventdriven architectures and message brokers eg RabbitMQ Apache Kafka to support robust intersystem communications
Familiarity with open source model libraries such as Hugging Face Transformers OpenAIs API integrations and other domainspecific 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
Experience with monitoring and logging tools eg Prometheus Grafana ELK Stack to ensure system reliability and operational performance
📌 Associate Principal - AI Engineering (Hyderabad)
🏢 LTM
📍 Hyderabad
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