Quantiphi
Associate Technical Architect - ML
USA - Remote · Senior · Full-time
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About the role
- While technology is the heart of our business, a global and diverse culture is the heart of our success.
- We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
- If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Responsibilities
- 8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
- Good Experience developing applications using LLMs with Langchain.
- Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
- Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
- Implement and manage MLOps principles and best practices for Gen AI models
- Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
- Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
- Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
Requirements
- Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
- Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock.
- Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2.
- Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch.
- Able to effectively design software architecture as required
Benefits
- As an Architect, Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems.
- Hands-on experience on AWS Machine Learning services.
- Should have experience with Deep Learning Concepts.
Company info
- We are also proud to be certified as a Great Place to Work-reflecting our commitment to our people and our culture.
This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.