Position Details
About this role
This role involves developing and deploying advanced AI and GenAI systems on enterprise platforms, focusing on unstructured data transformation, large language models, and autonomous AI workflows.
Key Responsibilities
- Design and build AI-driven systems
- Transform unstructured data into insights
- Integrate large-scale data pipelines
- Operate and optimize AI models in production
- Collaborate across engineering teams
Technical Overview
The technical environment includes Python, Java, large language models, cloud platforms like AWS Bedrock, data processing tools such as Kafka and MongoDB, and MLOps practices for scalable AI deployment.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with experience in large language models, generative AI, and data engineering. They should have hands-on experience with AI frameworks, cloud platforms, and MLOps workflows, capable of building scalable AI systems.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with large language models, No experience with MLOps workflows, No knowledge of cloud AI platforms, No programming experience in Python or Java
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