Associate Technical Architect

5 days ago

Bengaluru, India Quantiphi Full time

Company Profile :


Quantiphi is an award-winning Applied AI, Cloud, and Big Data solutions company. As an AWS Premier Consulting partner, we work solving complex problems in the area of Machine learning, ML/Ops, Lakehouse, and end-to-end enterprise cloud transformation for Fortune 500 customers leveraging the best-in-class AWS cloud infrastructure.


This is an opportunity to be at the forefront of enabling groundbreaking transformation journeys for our clients all across the globe. At Quantiphi, we take pride in enriching our employee experience through opportunities to work flexibly, learn, growandhavefunalong the way. Join us as we pursue challenges in solving what matters using the most cutting-edge cloud technologies We believe in “Solving What Matters”


Role: Associate Architect - Machine Learning

Experience In Years : 6-9

Work location: Mumbai/ Bangalore/ Trivandrum (Hybrid)


As an Architect and Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying thesemodelsonAWS infrastructure, ensuring scalability and reliability


Responsibilities:

● 8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.

● Hands-on experience with 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 vertexAI, OpenAI, and 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, and 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 enhance LLM's performance on specific tasks, and personalized recommendations.

● Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.

● 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

● Thorough understanding of NLP techniques for text representation and modeling

● Able to effectively design software architecture as required

● Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflowetc.Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

● 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.


Good to have Skills :

● Experience working for customers/workloads in the Edtech domain with use cases.

● Experience with software development


What’s in it for you?

● The experience of working in category-defining high-growth startups in the transformational AI, Decision ScienceandBigDataDomain.

● The opportunity of getting on-boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation

● The opportunity to work with a diverse, lively, and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.

● Flexible working options available to foster productivity and work/life balance

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