ML Engineering Manager

Job Description*Role & Responsibilities:Deploy and manage Kubernetes clusters with autoscaling using Karpenter.Implement event-driven scaling with KEDA for dynamic workloads.Optimize GPU workloads for compute-intensive tasks in Kubernetes.Build and maintain Grafana dashboards with Prometheus integration.Develop Python scripts for automation, IaC, and CI/CD...

AI/ML Engineer-(Azure AI Services)- RemoteJob descriptionWe are hiring for a AI/ML Engineer with expertise in LLM Architecture , Azure Open AI servicesThe ideal candidate will have experience leveraging pre-trained OpenAI models, applying prompt engineering, and deploying AI solutions in production environments. You will be responsible for Architecture,...

Job Description:As an AI/ML Engineer specializing in generative AI applications, you will be responsible for developing and optimizing the entire machine learning pipeline. This includes data preprocessing, model training, fine-tuning, and deployment. You will work closely with data scientists, software engineers, and product managers to create efficient and...

Role & responsibilitiesThey want ML Engineering, Backend developers with ML deployment. Few of the skills that he mentioned, Grafana, Karpenter, Keda, Python, Golang. GPU understanding.

Fine-tune models using LoRA adapters.Build and optimize composite loss functions for multiple use cases.Perform hyperparameter tuning (learning rate, rank, dropout, etc.) when needed.Automate nightly training workflows with model-specific weights.Integrate and manage DB for live data caching and streaming.Implement data transfer between PostgreSQL instances...

**AI/ML Engineer | 6 to 8 years | Bengaluru**: - Six year of demonstrated experience in developing highly scalable, reliable, and real-time data processing pipelines combined with experience in Machine Learning workflow and model deployment - Six years of demonstrated experience in designing and deploying software using frameworks for machine learning such...

Role & responsibilitiesML EngineerRole Summary Implements and operationalizes machine learning models, managing the end-to-end ML lifecycle including training, deployment, and monitoring.Detailed ResponsibilitiesPackage and deploy ML models using Azure ML pipelines.Automate retraining and versioning workflows.Build and maintain model scoring APIs and batch...

Role & responsibilitiesDesign and manage end-to-end ML pipelines for deployment and monitoring.Automate model training, retraining, and deployment workflows.Implement CI/CD for ML models to ensure reliability and scalability.Build real-time dashboards and APIs for model outputs and business consumption.Optimize cloud resources (Azure Databricks, ADF, Azure...

We are seeking a talented and passionate AI/ML Engineer to design, develop, and deploy intelligent systems and machine learning models. You will be instrumental in translating complex data insights into practical, scalable AI solutions that drive innovation and solve real-world problems. This role involves the full lifecycle of AI/ML development, from data...

AI/ML Engineering ExpertYou will play a key role in helping our clients leverage artificial intelligence and machine learning to drive business value.Key Responsibilities:Design and develop AI/ML architectures and pipelines for various use cases.Work with cross-functional teams to ensure successful deployment and governance of ML models.Stay up-to-date with...