Architect - MLOps + Databricks
2 weeks ago
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 We are seeking a skilled and passionate ML Engineer with 7+ years of experience to join our team. The ideal candidate will be instrumental in developing, deploying, and maintaining machine learning models, with a strong focus on MLOps practices. This role requires hands-on experience with Azure cloud services, Databricks, and MLflow to build robust and scalable ML solutions. Responsibilities: - Design, develop, and implement machine learning models and algorithms to solve complex business problems. - Collaborate with data scientists to transition models from research and development to production-ready systems. - Build and maintain scalable data pipelines for ML model training and inference using Databricks. - Implement and manage the ML model lifecycle using MLflow for experiment tracking, model versioning, and model registry. - Deploy and manage ML models in production environments on Azure, leveraging services like Azure Machine Learning, Azure Kubernetes Service (AKS), or Azure Functions. - Support MLOps workloads by automating model training, evaluation, deployment, and monitoring processes. - Ensure the reliability, performance, and scalability of ML systems in production. - Monitor model performance, detect drift, and implement retraining strategies. - Collaborate with DevOps and Data Engineering teams to integrate ML solutions into existing infrastructure and CI/CD pipelines. - Document model architecture, data flows, and operational procedures. Qualifications. Skills: - Strong proficiency in Python programming for data manipulation, machine learning, and scripting. - Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras. - Demonstrated experience with MLflow for experiment tracking, model management, and model deployment. - Proven experience working with Microsoft Azure cloud services, specifically Azure Machine Learning, Azure Databricks, and related compute/storage services. - Solid experience with Databricks for data processing, ETL, and ML model development. - Understanding of MLOps principles and practices, including CI/CD for ML, model versioning, monitoring, and retraining. - Experience with containerization technologies (Docker) and orchestration (Kubernetes, especially AKS) for deploying ML models. - Familiarity with data warehousing concepts and SQL. - Ability to work with large datasets and distributed computing frameworks. - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration skills. Nice-to-Have Skills: - Experience with other cloud platforms (AWS, GCP). - Knowledge of big data technologies like Apache Spark. - Experience with Azure DevOps for CI/CD pipelines. - Familiarity with real-time inference patterns and streaming data. - Understanding of responsible AI principles (fairness, explainability, privacy). Certifications: - Microsoft Certified: Azure AI Engineer Associate - Databricks Certified Machine Learning Associate (or higher)
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Architect - MLOps & Databricks
2 weeks ago
Bengaluru, Karnataka, India, Karnataka Quantiphi Full timeWe are seeking a skilled and passionate ML Engineer with 7+ years of experience to join our team. The ideal candidate will be instrumental in developing, deploying, and maintaining machine learning models, with a strong focus on MLOps practices. This role requires hands-on experience with Azure cloud services, Databricks, and MLflow to build robust and...
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Databricks MLOps Engineer
7 days ago
india beBeeMachineLearning Full timeWe are seeking a highly skilled Databricks MLOps Developer to join our team.Key Responsibilities:Design and Build Scalable MLOps PipelinesDevelop automated machine learning pipelines for training, validation, deployment, and batch/real-time inference.Use Databricks Workflows, Jobs, Repos, and Delta Live Tables where applicable.Implement distributed training...
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MLOps Engineer — Databricks
5 days ago
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MLOps Engineer — Databricks
6 days ago
india Hadron Talent -Hadronfinsys Full timeWe are looking for a skilled Databricks MLOps Developer to design, develop, and maintain machine learning operations workflows on the Databricks Lakehouse platform. This role involves building scalable pipelines, automating ML lifecycle processes, and ensuring robust deployment and monitoring of models in production.Key ResponsibilitiesDevelop MLOps...
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MLOps Engineer — Databricks
6 days ago
India Hadron Talent -Hadronfinsys Full timeWe are looking for a skilled Databricks MLOps Developer to design, develop, and maintain machine learning operations workflows on the Databricks Lakehouse platform. This role involves building scalable pipelines, automating ML lifecycle processes, and ensuring robust deployment and monitoring of models in production.Key ResponsibilitiesDevelop MLOps...
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MLOps Engineer — Databricks
57 minutes ago
india, IN Hadron Talent -Hadronfinsys Full timeWe are looking for a skilled Databricks MLOps Developer to design, develop, and maintain machine learning operations workflows on the Databricks Lakehouse platform. This role involves building scalable pipelines, automating ML lifecycle processes, and ensuring robust deployment and monitoring of models in production.Key ResponsibilitiesDevelop MLOps...
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MLOps Engineer — Databricks
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MLOps Engineer
3 weeks ago
Bengaluru, Karnataka, India, Karnataka Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS...
