Get more replies from employers
Send a job-specific resume in minutes.
InApp in Thiruvananthapuram / Kochi is seeking a Python AI/ML Developer with 4-7 years of experience to design, deploy and support scalable AI solutions on AWS. Hybrid/Remote work with quarterly in-office days for remote employees. Immediate availability (max 15 days) and 1 opening.
Role covers AI/ML, DevOps, and data workflows using modern tools. Responsibilities include building CI/CD pipelines, deploying LLM-based apps, and integrating AI agents.
Experience : 4-7 years Project Location(s) : Trivandrum / Kochi
Work mode: Hybrid/ Remote ( Quarterly 5 days in office for Remote Employees)
NP : Immediate (max up to 15 days)
Number of Openings: 1
We are seeking a skilled Python Developer with AI/ML, AWS DevOps expertise to design, develop, deploy, and support scalable Artificial Intelligence solutions on AWS. The role involves developing AI-powered applications, deploying Large Language Models (LLMs), automating cloud infrastructure, and managing cloud-native platforms using DevOps best practices.
The ideal candidate should have strong experience in Python programming, AWS cloud services, DevOps, Infrastructure as Code (IaC), AI/ML frameworks, Generative AI technologies.
Automate infrastructure provisioning using Terraform or AWS CloudFormation.
Deploy, monitor, and maintain applications on AWS Cloud.
Build automated deployment pipelines using GitHub Actions, GitLab CI/CD, or Jenkins.
Configure and manage AWS services including Lambda, ECS/EKS, S3, API Gateway, DynamoDB, IAM, CloudWatch, and Step Functions.
Optimize cloud infrastructure for performance, scalability, security, and cost.
Build and maintain development, testing, and production environments.
Perform infrastructure administration, monitoring, and routine platform maintenance.
Design, develop, train, and deploy Machine Learning and Generative AI solutions.
Develop AI applications using Python and modern AI/ML frameworks.
Deploy LLM-based applications using Amazon Bedrock, OpenAI, or similar platforms.
Integrate LLMs with Knowledge Graphs.
Develop AI Agents using LangChain, LangGraph, and Agentic AI frameworks.
Develop REST APIs using Python frameworks such as FastAPI.
Support AWS Lambda-based serverless applications.
Develop and maintain AWS Glue ETL jobs and data processing pipelines.