BENGALURU · FULLTIME
Specialist - Data Engineering
LTM
Bengaluru · onsite · Posted 31d ago
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Not disclosed5–7 yrsfulltimeBengaluru
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Section · 01
About this role
Role Description
Generative AI Engineer
Job Purpose
We are seeking a 57year experience AI engineer with a strong background in machine learning programming skills and a deep understanding of generative models The position is responsible for turning research into practical solutions that address realworld problems while ensuring the reliability and ethical use of generative AI in their applications
Key Responsibilities
1 Data Pipeline Development
Design and implement scalable data pipelines using Python to ingest process and transform log data from various sources
2 Context Creation
Develop APIs and services to consume data and provide this as a context to AI Agents
3 Data Monitoring and Maintenance
Set up monitoring and ing systems to ensure the reliability and performance of data pipelines
Troubleshoot and resolve issues related to data ingestion processing and storage
4 Collaboration and Documentation
Work closely with crossfunctional teams to understand requirements and deliver solutions that meet business needs
Document data pipeline architecture processes and best practices for future reference and knowledge sharing
5 Evaluation and Testing
Conduct thorough testing and validation of generative models
6 Azure DevOps Utilization
Design and optimize data storage and retrieval strategies using Azure DevOps
Implement data modeling partitioning and indexing strategies to enhance query performance
7 Research and Innovation
Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities
Experiment with different architectures and approaches in Agentic AI
Technical skills requirement
1 Strong proficiency in Python for data processing and automation Ability to write efficient and wellstructured code
2 Experienced with generative AI models and their integration into data workflows
3 Experienced with prompt engineering and LLM models Opensource and licensed Ex Llama OpenAI
4 Experienced with Application development framework like LangChain or similar frameworks
5 Experienced working with REST frameworks like Fast API Flask and Django
6 Good understanding of machine learning workflows and deployment
7 Knowledge of ETL processes data modeling and data warehousing principles
8 Familiarity with containerization and orchestration tools Docker Kubernetes
9 Familiarity with Snowflake for data warehousing and analytics
10 Experienced with cloud platforms AWS GCP Azure and related services is a plus
11 Strong communication and collaboration skills
12 Excellent problemsolving skills and attention to detail
Generative AI Engineer
Job Purpose
We are seeking a 57year experience AI engineer with a strong background in machine learning programming skills and a deep understanding of generative models The position is responsible for turning research into practical solutions that address realworld problems while ensuring the reliability and ethical use of generative AI in their applications
Key Responsibilities
1 Data Pipeline Development
Design and implement scalable data pipelines using Python to ingest process and transform log data from various sources
2 Context Creation
Develop APIs and services to consume data and provide this as a context to AI Agents
3 Data Monitoring and Maintenance
Set up monitoring and ing systems to ensure the reliability and performance of data pipelines
Troubleshoot and resolve issues related to data ingestion processing and storage
4 Collaboration and Documentation
Work closely with crossfunctional teams to understand requirements and deliver solutions that meet business needs
Document data pipeline architecture processes and best practices for future reference and knowledge sharing
5 Evaluation and Testing
Conduct thorough testing and validation of generative models
6 Azure DevOps Utilization
Design and optimize data storage and retrieval strategies using Azure DevOps
Implement data modeling partitioning and indexing strategies to enhance query performance
7 Research and Innovation
Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities
Experiment with different architectures and approaches in Agentic AI
Technical skills requirement
1 Strong proficiency in Python for data processing and automation Ability to write efficient and wellstructured code
2 Experienced with generative AI models and their integration into data workflows
3 Experienced with prompt engineering and LLM models Opensource and licensed Ex Llama OpenAI
4 Experienced with Application development framework like LangChain or similar frameworks
5 Experienced working with REST frameworks like Fast API Flask and Django
6 Good understanding of machine learning workflows and deployment
7 Knowledge of ETL processes data modeling and data warehousing principles
8 Familiarity with containerization and orchestration tools Docker Kubernetes
9 Familiarity with Snowflake for data warehousing and analytics
10 Experienced with cloud platforms AWS GCP Azure and related services is a plus
11 Strong communication and collaboration skills
12 Excellent problemsolving skills and attention to detail
Sourced from foundit
Section · 02
Skills
Machine learning workflows and deploymentAzure DevopsPrompt EngineeringETL ProcessesGenerative AI ModelsData warehousing principlesPythonSnowflakeData Modeling