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.
Robust experience with AWS SageMaker, including:
Training Jobs
Processing Jobs
Batch & Real-time Inference
Working with multiple data sources
Robust 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.

Positive to Have
Experience working on EdTech use cases.
Software development experience.

Skills:- Machine Learning (ML), Generative AI, AWS CloudFormation, Amazon Web Services (AWS) and AWS Bedrock

📌 Associate/architect Ml Engineer Aws Mumbai
🏢 Quantiphi
📍 Mumbai