Quantiphi
Website:
quantiphi.com
Company:
https://www.linkedin.com/company/quantiphi
Seniority: Not Applicable
Industries: IT Services and IT Consulting
Job details:
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 : Senior Machine Learnings Engineer (AWS)
Experience : 3-6 Years
Location : Mumbai/Bangalore
Must Have Skills
- Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar Agentic AI frameworks.
- Python: Good exposure to Python (Pandas, NumPy, FastAPI, advanced Python concepts).
- AWS Bedrock: Hands-on experience with AWS Bedrock and foundation models such as Claude Haiku and Claude Sonnet.
- LLM & GenAI: Hands-on experience in developing RAG pipelines, Prompt Engineering, and LLM-based GenAI applications.
- ML Pipeline Architecture: Experience with Titan Embeddings, Amazon OpenSearch Vector Search, and vector-based retrieval.
- Agentic AI: Hands-on experience with Agentic AI frameworks and AWS Bedrock AgentCore for developing AI agents and workflow orchestration.
- AI Agents & Knowledge Base: Experience developing AI agents for customer query automation and Knowledge Base (KB) solutions.
- Experience with document parsing, chunking, vectorizing and re-ranking strategies.
- Guardrails & Security: Experience configuring AWS Bedrock Guardrails and implementing authentication and authorization for secure AI applications.
- AWS Services: Hands-on experience with API Gateway, Lambda, S3, IAM, CloudWatch, ECR, and SageMaker.
- Software Engineering: Experience with Git, REST APIs, and CI/CD pipelines.
- Relevant AWS certifications (e.g., AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer – Associate, or AWS Certified Solutions Architect – Associate) are a plus.
Good To Have Skills
- Hands-on experience with OCR/Document Intelligence engines and NLP techniques for extracting structured information from documents and images.
- Hands-on experience with Bedrock Agentcore
- Hands-on experience with OpenAI, Anthropic, Gemini, or other foundation models.
- Experience with Docker, Kubernetes, and MLOps practices.
- Experience with Redshift, SQL, DynamoDB, or AWS Glue.
- Exposure to model monitoring, evaluation, and observability for GenAI applications.
- Ability to work in an Agile and DevOps environment.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Click on Apply to know more.
