GenAI Engineer (15 Years Exp)
Title: GenAI Engineer (15 years Exp.)
Location: Remote
Duration: Contract
Interview Mode : Video
Start Date : Immediate
Job Description:
3 buckets where they need to be absolute hands-on!
Data Pre-processing
• Types of data
• Extraction and chunking strategies
Retrieval and Chat Generation
• Evaluation of retrieval processes
• Understanding of hallucinations in generative models
Fine-tuning
In-depth understanding of machine learning fundamentals
Responsibilities:
• GenAI Pipeline Development:
o Design and implement Generative AI pipelines for Chat, RAG, and Fine-tuning applications.
o Collaborate with cross-functional teams to refine models based on user feedback.
• Model Performance Evaluation:
o Establish metrics for assessing GenAI module performance and accuracy.
o Implement quality assurance processes to validate outputs before deployment.
• Model Deployment and Maintenance:
o Ensure smooth deployment of GenAI models, collaborating with the team for effective performance.
o Set up monitoring protocols to evaluate model performance post-deployment.
• Documentation and Integration:
o Maintain clear documentation for processes and models to facilitate team accessibility.
o Ensure seamless integration of GenAI solutions with existing systems and workflows.
• Research and Innovation:
o Stay updated on Generative AI trends and contribute to innovative solutions.
o Evaluate state-of-the-art developments to implement into novel technologies.
Skills Needed:
• Technical Expertise:
o Strong experience with Small/Medium/Large Language Models (e.g., GPT-4, BERT, LLAMA) and GenAI
pipelines.
o Proficiency in retrieval-augmented generation systems and orchestrator agents/LLM chains.
• Programming and Tools:
o Advanced proficiency in Python.
o Experience with Git and Jira for development and task management in an active project setting.
• Cloud and Document Management:
o Experience with Azure Blob or AWS S3 and document management integration.
o Skills in PDF parsing, document segmentation, and handling various content types.
• Database and Analytical Skills:
o Experience with vector and relational DBs (e.g PGvector, Weaviate, etc), and vector search algorithms.
o Strong problem-solving abilities for project evaluation criteria.
• Communication:
o Excellent verbal and written communication skills for effective collaboration.
