MLOps jobs
74 open roles for mlops, updated continuously as employers post them.
Senior Machine Learning Engineer - Generative AI
Senior Machine Learning Engineer role in Noida focused on production GenAI, RAG, agentic workflows and evaluation. It suits Python engineers with hands-on experience operating LLM systems at scale.
MLOps engineer
MLOps Engineer role in Bengaluru building and operating production ML and GenAI platforms. It suits engineers experienced in Python, cloud, Kubernetes, CI/CD, observability and governed model delivery.
Hiring For Data Scientist role
Bengaluru data scientist role focused on production computer vision and deep learning. It suits candidates with four to eight years of IT experience, including at least three years in data science, plus Python and Azure experience.
Data Scientist - Fraud & Analytics
On-site Data Scientist role in Gurgaon/Gurugram focused on fraud detection, predictive modeling, and the full machine learning lifecycle.
Senior AI/ML Engineer
Remote senior AI/ML engineering role available across India for candidates with five to seven years of experience. The position focuses on generative AI, LLM and RAG pipelines, cloud deployment, and MLOps.
AI Engineer
On-site Pune AI engineering role focused on production generative AI, agentic AI, and RAG applications. The role suits candidates with hands-on deployment experience and a bachelor's degree in a relevant technical field.
AI Engineer - LLM
AI Engineer role in Bangalore for an experienced software engineer building production LLM, RAG, and enterprise AI systems. It is suited to candidates with Python, retrieval, NLP, and generative AI application experience.
Machine Learning Engineer - Global Sourcing & Supply Management (GSSM) Solutions
Machine Learning Engineer role in Bengaluru supporting AI and data-driven decisions across global sourcing and supply management. The position suits an experienced ML engineer who can build production systems and work across ML, software, and data engineering.
Specialist Solutions Architect - AI/ML
Lead hybrid solutions architect role in Bengaluru for an AI/ML practitioner with at least five years of industry experience. The work combines customer architecture, GenAI and agent systems, MLOps, technical enablement, and product feedback.
Generative AI/Agentic AI Engineer
Generative AI and agentic AI engineer role in Noida for a Python developer with four to six years of experience. The position focuses on LLM applications, multi-agent workflows, prompt engineering, RAG, and production integrations.
Senior Artificial Intelligence/Machine Learning Engineer
Senior AI and Machine Learning Engineer role in Noida for an engineer with at least 5 years of production ML experience. The position combines classical machine learning, LLM workflows, AWS deployment, data preparation, and Java/Spring integration.
Artificial Intelligence Engineer - LLM/Python
Artificial Intelligence Engineer role focused on LLM, Python, RAG, and agentic application development across multiple locations. The position suits a software engineer with 4–12 years of experience and experience delivering cloud-native AI systems.
Lead AI Engineer
Lead AI Engineer role in Pune with hybrid work, focused on enterprise AI platform engineering, cloud infrastructure, MLOps, observability, and production operations. The position suits a senior engineer who can build reliable shared capabilities for machine learning and generative AI teams.
Senior AI Engineer - Agentic Platform
Hybrid Senior AI Engineer role in Bengaluru building a governed, MCP-native agent platform for manufacturing software. The position suits a senior Python engineer with production LLM, AWS, RAG, and MLOps experience.
GenAI Engineer
GenAI Engineer role in Gurgaon/Gurugram for a professional with 2–7 years of experience in Python, SQL, LLMs, RAG, and agentic AI. The position combines AI application development, deployment, evaluation, and MLOps.
Data Scientist
Full-time Data Scientist role focused on production LLM, RAG, and agentic AI systems across several Indian locations. It suits engineers with Python, retrieval, orchestration, and deployment experience.
mlops engineer
Remote MLOps Engineer role focused on model operations, cloud ML platforms, containers, experiment tracking, and CI/CD. The posting does not provide a salary range.
Senior Machine Learning Engineer
Quantiphi is hiring a senior Machine Learning Engineer in India to lead production ML, generative AI, and MLOps delivery for healthcare and life sciences projects. The role suits hands-on technical leaders with six to eight years of experience across Python, deep learning, RAG, agentic systems, and cloud operations.
Senior Solution Architect -Data & AI
A senior data and AI solution architect role at an FMCG/cosmetics company in Hyderabad, built around Google Cloud. Suited to an experienced architect with a GCP Professional Cloud Architect certification.
AI Engineer
Onsite AI Engineer role in Bengaluru focused on production machine learning and GenAI for healthcare technology. It suits an experienced Python engineer who can build models, pipelines and backend integrations.
Machine Learning Engineer
Hybrid Machine Learning Engineer role in Bengaluru focused on radar-based fall detection, vital monitoring and predictive health models. It suits a classical ML engineer who can handle noisy sensor data and production reliability in healthcare.
Software Engineer - II (AI)
Onsite Software Engineer II role in Bengaluru focused on MLOps and production infrastructure for computer-vision, NLP and multimodal AI. It suits an engineer who can make research models reliable, observable and scalable in production.
AI Engineer
Hybrid Founding AI Engineer role in Bengaluru for an engineer who can build and operate conversational AI systems. The role covers LLM pipelines, RAG, inference optimization, and production ML infrastructure.
Machine Learning Engineer
Nykaa is hiring a mid-level machine learning engineer in Bengaluru to productionize ML systems used in e-commerce. The role requires 5 to 7 years of experience along with Python, MLOps, model serving, monitoring, and AWS or cloud skills.