We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

Architect - Machine Learning - GenAI

3 LocationsScore 52.5/1001d ago
Market insights
📊 Architecture: salaries and demand on the market
Stack
airflowawscloudelasticsearchfine-tuninglambdalangchainllmopensearchsagemakertransformers
Show company and link
Free. Sign in with email.
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
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! Role : Architect - Machine Learning (AWS) Experience : 12 - 15 Years Location : Bangalore Must have skills: 12+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS. Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. Good Experience developing applications using LLMs with Langchain. Must have experience using GenAI frameworks such as AWS Bedrock, OpenAI. 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. Strong familiarity with higher-level trends in LLMs and open-source platforms. Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models Prompt Engineering: Engineer prompts and optimizes few-shot techniques to enhan
Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs