Data Engineer

Role & responsibilities

• Design and develop GENAI solutions on AWS leveraging services such as S3, Sage maker, Glue, Lex, Kendra, Bedrock and comprehend.
• Integrate Langhian language capabilities into AI models and algorithms for enhanced language processing and understanding.
• Utilize prompt engineering techniques to generate high-quality prompts for AI models and improve model performance.
• Collaborate with data scientists, engineers, and stakeholders to gather requirements and define project scope for GENAI projects.
• Monitor, troubleshoot and maintain GENAI solutions with Langhian integration and prompt engineering to ensure high availability and reliability.
• Proficiency in machine learning frameworks and libraries such as scikit-learn.
• Familiarity with DevOps practices, CI/CD pipelines, Bit bucket, Jenkins and infrastructure as code (IaC) tools.
• Stay updated with the latest trends and advancements in GenAI, machine learning, natural language processing, prompt engineering and cloud technologies.
• Extensive experience working on enterprise-level applications development projects.
• Familiarity with software design patterns .
• Hands on experience working in an Agile environment.
• Experienced in defect tracking tools: JIRA, Quality Center
• Evaluate custom solutions through prototyping & POCs.
• Complete documentation as per the scope; prepare guidelines and checklist for development and testing activities

Preferred candidate profile

• 2-5 years of Overall IT experience
• Strong knowledge on AWS Glue/python/PySpark.
• Understanding of AWS data/automation services Step functions, Lambda, SNS, SQS.
• Hands-on experience in ETL projects.
• Good understanding of Software Development Life Cycle
• Should have good Knowledge of AWS Services/ Tools, Machine Learning Concepts, Designing developing and Implementing AI solutions.