Design and manage machine learning model lifecycles, including deployment, monitoring, and production operations. Build machine learning CI/CD pipelines using Python, Docker, Kubernetes, MLflow or Kubeflow, and cloud platforms such as AWS, Azure, or GCP. Apply Git-based version control and potentially Terraform for infrastructure as code across AI/ML projects.
Hiring: MD-MLOps Engineer
We are hiring experienced MLOps Engineers for exciting AI/ML projects across PAN India.
• Role: MD-MLOps Engineer
• Experience: 1–10 Years
• Salary: ₹12 LPA – ₹60 LPA
• Location: PAN India
• Hiring Company: Hiringhood IT
• Joining Preference: Immediate Joiners
Requirements
Key Skills:
• MLOps & ML Model Lifecycle Management
• Python
• CI/CD for Machine Learning
• Docker & Kubernetes
• MLflow / Kubeflow
• Model Deployment & Monitoring
• AWS / Azure / GCP
• Git & Version Control
• Infrastructure as Code – Terraform is an advantage
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop and optimize Mastercard payment applications through performance testing, Java and database tuning, bottleneck analysis, automation, and APM tooling. Design load tests, measure latency and throughput, resolve system performance issues, improve testing environments, coach junior engineers, and present results to stakeholders. Requires Java Spring Boot, PostgreSQL, Oracle, JMeter, BlazeMeter, performance analysis tools, and payments industry knowledge.
Top Skills:
Apache JmeterBlazemeterDynatraceIso 8583JavaJava Microbenchmark Harness (Jmh)JprofilerOraclePostgresSplunkSpring Boot
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Leads the architecture and development of AI-focused quality engineering frameworks, evaluation pipelines, synthetic data tools, prompt regression suites, and self-healing automation. Establishes strategies for testing hallucinations, model drift, bias, accuracy, reliability, performance, and scalability in AI-driven enterprise products. Provides architectural direction, advises executives, mentors engineers, drives cross-functional adoption of AI testing standards, and represents the company externally.
Top Skills:
AIAutogenData EngineeringLangchainLlmLlm Evaluation HarnessesMachine Learning PipelinesMcpPrompt Regression TestingReal-Time Production Data Feedback LoopsSynthetic Data GenerationTest Automation
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Supports structured finance credit analysis by reviewing deal documents, extracting trustee-report data, preparing templates, and performing quality-control and regulatory reporting tasks. Maintains documents, supports ratings workflows, researches data, and identifies process efficiencies and automation opportunities. Requires collaboration with onshore stakeholders, strong attention to detail, quantitative analysis, and compliance with company policies.
Top Skills:
BloombergIntexLoan PerformanceExcelMssqlVisual Basic For Applications (Vba)
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
