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Hybrid/remote mid-level AI/ML role in metro with broad DevOps+ML requirements increases candidate competition.
Requires combined ML, LLM, and AWS DevOps expertise, making cross-industry transferability limited.
Explicit 4–7 year requirement plus multiple mandatory AWS, DevOps, IaC, and ML tool proficiencies.
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Design, develop, train, and deploy scalable AI/ML and Generative AI solutions integrating Large Language Models (LLMs) and AI agents using platforms like Amazon Bedrock and OpenAI.
Automate and manage AWS cloud infrastructure using DevOps best practices, including Infrastructure as Code tools (Terraform, CloudFormation) and CI/CD pipelines (GitHub Actions, GitLab CI/CD, Jenkins).
Develop and maintain Python-based applications, REST APIs (FastAPI), serverless Lambda functions, and AWS Glue ETL data pipelines ensuring performance, scalability, and security.
4-6 years of software development experience with strong Python programming skills.
Minimum 3+ years of AWS cloud engineering and DevOps experience including Infrastructure as Code and CI/CD pipeline management.
Experience deploying AI/ML, Generative AI, and Large Language Model applications to production.
Notice period: Immediate to maximum 15 days; Location: Trivandrum or Kochi; Work mode: Hybrid/Remote (mandatory quarterly 5 days in office).
Proven ability to operate at the intersection of AI/ML development and cloud DevOps, particularly within AWS environments.
Experienced in building production-grade AI/ML solutions involving LLM deployment and integration with knowledge graphs and AI agent frameworks.
Comfortable managing end-to-end infrastructure automation, application deployment, and cloud platform maintenance in hybrid/remote working setups.