Senior Machine Learning Engineer

Quantiphi · IT Services & Consulting

IN KA Bengaluru; IN KL Trivandrum; IN MH Mumbai Eureka
On-site
Posted 9 days ago
Data & AI

About the job

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!

Job Role - Senior Machine Learning

Experience - 4-7 Years

Location - Mumbai/ Bangalore/ Trivandrum

We are seeking a highly skilled Senior Machine Learning Engineer specializing in conversational AI and agent systems. The ideal candidate will architect LLM-powered solutions, lead agent framework development, and collaborate with cross-functional teams to deliver enterprise-grade conversational AI systems on AWS cloud infrastructure.

Must have skills:

Architect, develop, and deploy ML solutions at scale including traditional ML and LLM/conversational AI systems

Lead end-to-end ML/AI lifecycle: data preparation, feature engineering, model development, validation, deployment, and monitoring

Design production-ready agent frameworks, tool calling systems, and multi-agent coordination

Implement MLOps best practices for deployment, monitoring, and optimization across ML and LLM systems

Proven expertise in regression, decision trees, SVM, ensemble models, clustering, data preprocessing, feature selection, and statistical modeling

Expert knowledge of prompt engineering, context optimization, agent reasoning patterns, RAG systems, vector databases, and semantic search

Strong Python skills with ML libraries (scikit-learn, XGBoost, LightGBM) and agent frameworks (LangChain, CrewAI)

Experience designing and implementing robust RESTful APIs for integrating ML models and conversational AI systems with enterprise applications and external services

Experience with AWS Services : AWS Sagemaker, Bedrock, etc.

Build scalable conversation analytics and AI system observability frameworks

Collaborate with data scientists, data engineers, product managers, and stakeholders to translate business requirements into scalable ML/AI solutions

Excellent problem-solving, communication, and stakeholder management skills

Good to Have Skills:

Advanced AI Experience: Experience with Model Context Protocol (MCP) or similar agent communication standards

Experience in customer support automation or contact center technologies

Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, Google Cloud ML Engineer)

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !

Apply on Quantiphi