We are seeking a highly skilled Gen AI/DevOps Expert with experience in building and managing AIdriven applications, specializing in AWS, LangChain, AIOps, and Vector Databases.
This role will require a deep understanding of integrating AI/ML pipelines, automating operations with DevOps practices, and optimizing generative AI solutions in scalable cloud environments.
You will work with crossfunctional teams to design, deploy, and manage robust AI systems and infrastructure.
Required Qualifications:
Experience in DevOps and AI/ML engineering roles, with a focus on cloud platforms like AWS.
Handson experience with LangChain and building generative AI applications using LLMs (Large Language Models).
Strong experience with Vector Databases such as Pinecone, Weaviate, FAISS, or similar technologies.
Expertise in AIOps tools and techniques, including predictive analytics, anomaly detection, and automation of operational processes.
Proficiency in managing cloudnative infrastructure using AWS services (SageMaker, EC2, S3, Lambda, ECS/EKS).
Strong knowledge of containerization technologies (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation).
Experience with building and managing CI/CD pipelines for AI/ML workloads.
Familiarity with version control systems for AI models and data, including MLflow, DVC, or similar.
Preferred Qualifications:
Knowledge of AI ethics, governance, and ensuring responsible AI deployment in production environments.
Strong scripting skills in Python, Bash, and experience with automation tools like Jenkins, Ansible, or similar.