Machine Learning Engineer

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Job Summary:

We are seeking an experienced Machine Learning Engineer with a strong background in designing, developing, and scaling chatbot and conversational AI solutions on AWS. In this role, you will collaborate closely with product, engineering, and data teams to build intelligent, secure, and scalable conversational systems that seamlessly integrate with enterprise platforms.

Key Responsibilities

• Architect, develop, and deploy chatbot solutions using AWS services such as Lambda, API Gateway, DynamoDB, and S3.
• Design and implement NLP pipelines, dialogue flows, and robust fallback/error-handling strategies.
• Integrate chatbot systems with enterprise tools and applications (e.g., CRM, HRMS, internal platforms).
• Ensure high availability, performance optimization, and cost efficiency of chatbot workloads on AWS.
• Implement monitoring, logging, and analytics for tracking and improving chatbot performance.
• Collaborate with cross-functional teams including product managers, UX designers, and data scientists to enhance conversational user experiences.
• Apply cloud security best practices to safeguard data and access within the chatbot ecosystem.

Required Skills

• Extensive hands-on experience with AWS services: Lambda, S3, DynamoDB, API Gateway, CloudWatch, IAM, etc.
• Strong programming skills in at least one language: Python, Node.js, or Java.
• Solid understanding of Machine Learning and Artificial Intelligence, with a focus on NLP.
• Experience with conversational AI frameworks such as Rasa, Dialogflow, or similar.
• Expertise in integrating RESTful APIs, GraphQL, and Webhooks.
• Familiarity with CI/CD processes and tools (e.g., CodePipeline, GitHub Actions, Jenkins).
• Knowledge of cloud security, IAM policies, and best practices.
• Experience developing APIs using frameworks like FastAPI or Flask.
• Understanding of AI Agents and their application in dynamic conversational systems.

Preferred/Bonus Skills

• Exposure to Generative AI tools and platforms (e.g., Amazon Bedrock, OpenAI APIs, Anthropic Claude).
• Experience with front-end integrations for chatbots (React, Angular, mobile apps, or messaging platforms like WhatsApp, Slack, Teams).
• Familiarity with MLOps practices and deploying custom NLP models in production.
• Knowledge of chatbot analytics and performance tools (e.g., Amazon Kendra, QuickSight, or third-party platforms).

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