Senior Machine Learning Engineer

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!