

Quantiphi
https://quantiphi.comAbout
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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Bengaluru, Mumbai, and Trivandrum
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Location: Mumbai (Work From Office)
About Quantiphi
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational business problems. By combining deep industry expertise, cloud and data engineering, and cutting-edge AI research, Quantiphi helps customers build smarter products, frictionless customer experiences, autonomous processes, and safer businesses.
As an Architect – Machine Learning Engineer, you will design and develop advanced machine learning models and algorithms to solve complex business problems. You will optimize and deploy these models on AWS infrastructure, ensuring scalability and reliability.
Must Have Skills
- 7+ years of hands-on experience implementing and developing cloud ML solutions on AWS.
- Strong experience with AWS SageMaker, including:
- Training Jobs
- Processing Jobs
- Batch & Real-time Inference
- Working with multiple data sources
- Strong NLP expertise:
- Deep Learning concepts (Transformers, BERT, Attention Models)
- Python
- Hugging Face Transformers
- SpaCy
- NLTK
- Stanford NLP
- NLP concepts including tokenization, embeddings, syntactic & semantic parsing, Named Entity Recognition (NER), and coreference resolution.
- Experience building Agentic AI applications:
- LangChain
- Amazon Bedrock Agents
- Autonomous task planning and multi-step reasoning
- Experience architecting AI solutions using AWS services:
- AWS Lambda
- Amazon Bedrock
- Step Functions
- S3
- API Gateway
- SageMaker
- Experience implementing Model Context Protocol (MCP) for state, memory, context window, and prompt orchestration.
- Experience integrating agentic workflows with LLMs such as:
- Titan
- Nova
- Cohere
- Claude
- Hands-on experience fine-tuning Large Language Models (LLMs), specifically Llama 2.
- Familiarity with:
- Prompt Engineering
- Tool Calling
- Vector Databases (OpenSearch, Pinecone, Elasticsearch, Bedrock Knowledge Bases)
- Context Management
- Model evaluation and optimization:
- Zero-shot/Few-shot evaluation
- Hyperparameter tuning
- Model interpretability
- Experience with workflow orchestration tools such as:
- Airflow
- AWS Step Functions
- SageMaker Pipelines
- Kubeflow
- Experience building secure, scalable APIs and integrating third-party data sources.
- Strong collaboration skills with Developers, QA, Product Managers, and cross-functional stakeholders.
Good to Have
- Experience working on EdTech use cases.
- Software development experience.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Company Profile
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Some company highlights:
- Quantiphi has seen 2.5x growth YoY since its inception in 2013.
- Winner of the "Machine Learning Partner of the Year" award from Google for two consecutive years - 2017 and 2018.
- Winner of the "Social Impact Partner of the Year" award from Google for 2019.
- Headquartered in Boston, with 700+ data science professionals across different offices.
For more details, visit: our http://www.quantiphi.com/">Website or our https://www.linkedin.com/company/quantiphi/">LinkedIn Page
Job Description
Role: Associate Tech Architect / Tech Architect – ReactJS +Python+AWS
Experience Level: 7-13 Years
Work location: Mumbai & Bangalore
We are looking for an experienced full stack developer( ReactJS and Python ) who can help create dynamic software applications for our clients with their skill set. In this role, you will be responsible for gathering requirements from clients and accordingly write and test scalable code, and develop front end and back-end components.
Technologies worked on:
ReactJS, Python, AWS
Requirement Description:
- Full Stack developer with experience in ReactJS, Python, API Gateway, Fargate and ECS
- Well-experienced in working with tools like Git, Maven, JFrog
- Should have a solid understanding of object-oriented programming (OOP)
- Well-experienced to perform Unit Testing and Integration Testing and have good experience in Agile based development approach
- Expertise in developing enterprise-level web applications and REST and SOAP APIs using MicroServices, with demonstrable production-scale experience
- Demonstrate strong design and programming skills using JSON, Web Services, XML, XSLT, PL/SQL in Unix and Windows environments
- Strong background working with Linux/UNIX environments and strong Shell scripting experience
- Working knowledge with SQL or No SQL databases
- Understand Architecture Requirements and ensure effective design, development, validation, and support activities
- Understanding of core AWS services, uses, and basic AWS architecture best practices
- Proficiency in developing, deploying, and debugging cloud-based applications using AWS
- Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
- Ability to identify key features of AWS services
- Identify bottlenecks and bugs, and recommend solutions by comparing the advantages and disadvantages of custom development
- Should contribute to team meetings, troubleshooting development and production problems across multiple environments and operating platforms
- Execute strong collaboration and communication skills within distributed project teams
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency
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