Machine Learning Engineer

2 days ago


Thrissur, India ADP Full time

Total Experience : 8-12yearsLocation : HyderabadNotice Period : Immediate to 30days onlyPosition : 1We're seeking a talented ML Engineer to help build, deploy, scale and maintain machine learning models and optimize our ML workflows and infrastructure.Key ResponsibilitiesDesign and develop high-performance, scalable, and reliable machine learning pipelines and model deployment systemsBuild and maintain MLOps infrastructure for model training, validation, deployment, and monitoringCreate automated ML workflows for data preprocessing, feature engineering, model training, and evaluationDeploy models to production environments and ensure optimal performance and reliabilityIntegrate ML models with existing data infrastructure and APIsImplement model versioning, A/B testing frameworks, and continuous integration/deployment for ML systemsMonitor model performance, detect drift, and implement retraining strategiesCreate custom tools and frameworks to streamline ML development and deployment processesCollaborate with data scientists to productionize research models and experimentsRequirementsProficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or MLflowStrong expertise in Python and/or Scala for ML development. Experience with R is a plusExcellent knowledge of ML algorithms, statistical methods, and model evaluation techniquesDeep understanding of MLOps practices, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure)Proficiency in distributed computing and experience with Spark for large-scale ML workloadsExperience with model serving frameworks (TensorFlow Serving, Seldon, KubeFlow) and API developmentKnowledge of feature stores, experiment tracking, and ML metadata managementExperience with SQL/NoSQL databases and data warehousing for ML feature engineeringUnderstanding of software engineering best practices, version control (Git), and CI/CD pipelinesExperience with monitoring and observability tools for ML systemsAbility to work independently and collaboratively within cross-functional teamsFlexible, adaptive, quick learner with strong problem-solving skills


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