Architect ( Generative AI & LLM expert )
- Customerxps Software
- 7 - 12 years
- Bengaluru
- 2 months ago
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Job Description
Architect(Generative AI LLM expert)
As a Generative AI LLM expert, you will support our AI and ML team in designing, developing, fine-tuning, and deploying large language models and generative AI applications. This is a unique opportunity to work on state-of-the-art AI technologies and enhance skills in machine learning, natural language processing, and deep learning.
Roles Responsibilities - Architect robust systems to integrate LLMs and support retrieval workflows.
- Provide guidance on the use of Vector DBs and model deployment on cloud
- Optimize the fine-tuning process for business-specific LLM use cases.platforms.
- Design application with on premise / cloud based LLM , RAG, Langchain.
- Model Training Fine-Tuning: Assist/Build in training and fine-tuning large language models (e.g., GPT, LLaMA) on domain-specific data to improve model accuracy and relevance.
- Data Preparation Preprocessing: Work with large datasets, perform data cleaning, tokenization, and prepare text data for model training and evaluation.
- Prompt Engineering: Experiment with and refine prompt techniques for various generative AI applications (e.g., text summarization, question answering, chatbots).
- Model Evaluation Optimization: Help in evaluating models, using metrics such as BLEU, ROUGE, and perplexity, and work to optimize models for performance and accuracy.
- Collaborate with Cross-functional Teams: Work closely with engineering and product teams to understand project requirements, and contribute to developing scalable AI solutions.
- Documentation Reporting: Document processes, model architectures, and code; assist in creating model cards and writing reports for stakeholders.
- Managing and training LLM models (e.g., fine-tuning llama3.1).
- Generating embeddings and managing semantic search via Vector DBs.
Qualifications:
Educational Background: Completed a Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Educational Background: Completed a Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Proximate Role and Experience:
Proximate Role: Architect with MLOps experience.
Experience Level: 7+ years in building ML pipelines, feature engineering, or deploying models/LLMs on cloud platforms.
Proximate Role: Architect with MLOps experience.
Experience Level: 7+ years in building ML pipelines, feature engineering, or deploying models/LLMs on cloud platforms.
Proximate Skills Considered:
Experience with machine learning pipelines, model optimization, and feature engineering.
Proficiency in database indexing (e.g., Elasticsearch) or data retrieval methods.
Familiarity with deploying ML models in cloud environments and optimizing model inference.
Experience with machine learning pipelines, model optimization, and feature engineering.
Proficiency in database indexing (e.g., Elasticsearch) or data retrieval methods.
Familiarity with deploying ML models in cloud environments and optimizing model inference.
Innate Skills:
Leadership skills to mentor and guide teams in adopting new technologies.
Strategic thinking to align AI implementations with business objectives
Job Features Job Category Leadership skills to mentor and guide teams in adopting new technologies.
Strategic thinking to align AI implementations with business objectives
Product Engineering
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Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: Customerxps SoftwareLocation(s): Bengaluru+ View Contact
Keyskills: Computer science Product engineering Usage Social media Analytical Artificial Intelligence Machine learning Cloud Natural language processing Analytics
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