Senior Machine Learning Engineer
Senior Machine Learning Engineer
Quantiphi- Posted 3 hours ago
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Job Description
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
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
- 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)
More Info
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Industry:
Employment Type:
Key Skills
Agent reasoning patterns
Prompt engineering
scikit-learn
RAG systems
Data preprocessing
Conversation analytics
AI system observability frameworks
LLM conversational AI systems
Feature engineering
AWS Sagemaker
LangChain
CrewAI
Vector databases
LightGBM
Ensemble models
Agent frameworks
Context optimization
About Company
Skills:
Tensorflow, Pytorch, Docker, Python, LangChain, pgvector, Qdrant, MLflow, Pinecone, LlamaIndex
Skills:
data preparation , prophet , Machine Learning, Sql, Tensorflow, Data Science, Pandas, Pytorch, Docker, Arima, Python, LSTMs, Airflow, scikit-learn, LightGBM, MLflow, time-series forecasting, Sagemaker, AWS Cloud Platform, data quality assessment, Transformers, MLOps tools, statsmodels
Skills:
Machine Learning, Deep Learning, Tensorflow, Pytorch, Opencv, Python, Computer Vision, GenAI, Prompting, LLMs, GenAI systems, OCR engines, PIL, Fine-tuning
Skills:
data engineering , Numpy, Pandas, Pytorch, Python, Testing and release, scikit-learn, Development processes, ELT data pipelines, ML research methodologies, Build processes, Production ML systems, Source control management, ML pipelines
Skills:
error analysis , Deduplication, Pytorch, Python, Cloud Storage, Statistical Analysis, data augmentation, model training, model-based labeling, distributed compute, Active Learning, VLMs, Hugging Face LLMs, ablation studies, dataset curation, benchmark evaluation, workflow orchestration, weak supervision, Batch Processing, inference evaluation, synthetic-data generation, Production Monitoring, data-quality measurement, diffusion models, multimodal models