MLOps Engineer

The MLOps Engineer is responsible for automating, operationalizing, and managing the machine learning lifecycle across all phasestraining, evaluation, deployment, and monitoring.Key ResponsibilitiesOverall ResponsibilitiesDesign and implement end-to-end MLOps pipelines for ML model lifecycle management.Collaborate with Data Scientists to streamline model...

Dear Candidate,We are hiring for Mlops EngineerFull timeLoaction Pan India (Hybrid)Exp- 5 to 12 YearsKey Responsibilities:Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deploymentCollaborate with data scientists and software engineers to operationalize ML modelsDevelop and maintain CI/CD pipelines for ML...

Expert MLOps ConsultantWe are seeking a seasoned Expert MLOps Consultant to provide expert guidance and technical support for deploying machine learning models to a secure, scalable, and cloud-hosted environment.This role involves advising on infrastructure design, API deployment strategies, CI/CD pipelines for ML models, and best practices for...

Key Responsibilities:Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration.CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment.Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or...

5+ years of experience As the Infrastructure and Ops Engineer, you will work on operations related our UAIS AI Studio (enterprise AI/ML platform), and in particular in relation to AI/ML training initiative supporting thousands of learners on the platform. This individual contributor (IC) role requires experience on working on large-scale AI/ML platforms...

Job Title: Artificial Intelligence and Machine Learning EngineerWe are seeking an experienced engineer to join our team and lead the development of cutting-edge AI and machine learning solutions.Key Responsibilities:Data Scientist/Engineer Role:- Develop and deploy AI and machine learning models using Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT...

Seeking a skilled Machine Learning Engineer with expertise in Python and TensorFlow. The ideal candidate will develop, optimize, and deploy sophisticated ML and Deep Learning models, work with complex datasets, and ensure the reliability and performance of AI-driven solutions in production environments.Key ResponsibilitiesData Analysis & Feature...

Classical ML- XGBoost, Random Forest, SVM, Deep Learning- CNNs, RNNs, LSTMs, Transformers, NLP- BERT, GPT, LLaMA, T5, GenAI- Diffusion models, LLM fine-tuning, prompt engineering, Python, SQL, and ML libraries-scikit-learn, Hugging Face, LangChain Required Candidate profileExperience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow,...

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...

Job Title: Artificial Intelligence DeveloperWe are seeking a highly skilled and proactive AI developer to lead the implementation of end-to-end machine learning pipelines using Python, GCP, and ML Ops practices.Key Responsibilities:Design and develop scalable, production-grade AI solutions.Develop and deploy machine learning models in Python; manage data...