MyCareernet
Company:
https://www.linkedin.com/company/mycareernet
Seniority: Mid-Senior level
Industries: Appliances, Electrical, and Electronics Manufacturing and Environmental Services
Job details:
Company:A Large Global Organization
Key Skills: Artificial Intelligence, Machine Learning, Generative AI, LLM, Python, SQL, AWS Lambda, AWS Glue, AWS Step Functions, EventBridge Scheduler, MLOps, CI/CD, REST APIs, Model Serving, AI Agents
Roles & Responsibilities
- Develop and deploy production-ready Machine Learning and Generative AI solutions.
- Build ML pipelines for model development, evaluation, inference, and optimization.
- Design and develop LLM-based applications, AI agents, and automated workflows.
- Create REST APIs for model serving and AI application integration.
- Implement AWS serverless solutions using Lambda, Glue, Step Functions, and EventBridge.
- Manage MLOps workflows for model deployment, monitoring, and updates.
- Build and maintain CI/CD pipelines using Bitbucket.
- Optimize AI solutions for performance, scalability, and reliability.
- Collaborate with data scientists and engineering teams to deliver AI products.
Experience Required
- 5-8 years of experience in AI/ML Engineering and production model delivery.
- Strong experience in Machine Learning model development, evaluation, and deployment.
- Hands-on experience with Generative AI, LLM applications, and AI agents.
- Experience with AWS serverless services including Lambda, Glue, Step Functions, and EventBridge.
- Experience in REST API development and model-serving infrastructure.
- Knowledge of MLOps practices, CI/CD workflows, and production deployments.
- Strong programming skills in Python and SQL.
- Good problem-solving and analytical skills.
Education: Any Graduation
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