roles with a focus on machine learning or AI. Strong experience with cloud platforms (AWS, Azure, GCP) and tools for deploying ML models (e.g., SageMaker, TensorFlow Serving, Kubernetes). Hands-on experience with CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and version control (Git). Technical Skills: Proficiency more »
learning algorithms, statistical methods, and data analysis techniques Skilled in data processing, feature engineering, and model evaluation practices Familiarity with cloud platforms such as Amazon Web Services (AWS) and Google Cloud Hands-on experience with AmazonSageMaker and Jupyter Notebooks Knowledge of model serving technologies, including Triton more »
machine learning algorithms, statistical techniques, and data analysis methods. Strong skills in data processing, feature engineering, and model evaluation. Skilled in cloud platforms, especially Amazon Web Services (AWS) and Google Cloud. Experienced in working with model serving technologies like Triton Inference Server. Knowledgeable in containerized environments, including Docker, Helm … integration and deployment (CI/CD) tools, including Bamboo and Argo CD. Experienced in Prometheus and Grafana for monitoring and observability. Skilled in using AmazonSageMaker and Jupyter Notebooks for model development and experimentation. Proficient in working with distributed systems and large-scale data processing. For further information more »
and NoSQL databases Competent in establishing CI/CD pipelines using Jenkins, Azure DevOps, or GitHub Actions, and ML Ops workflows in Azure ML, SageMaker, or Vertex AI Committed to test-driven development practices Prior involvement in NLP application development is advantageous Capable of conveying complex technical and analytical more »
Proficiency in programming languages such as Python, experience with AI/ML frameworks (eg, TensorFlow, PyTorch), and experience with MLOps frameworks/tools (eg Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI) Senior ML Ops Engineer,ML Flow,Docker,Kubernetes,GCP Why work at GlobalLogic. Our goal more »
CloudFront, NLB, RDS, API Gateway) You'll be able to support Linux. IaC.... Terraform would be great. AI-ML techniques are becoming more prominent - Sagemaker etc would be a nice to have. Data Platform technologies (Redshift/Airflow etc) - also a nice to have. The interview process will consist more »
Have designed and built CI/CD pipelines at scale Expertise in cloud technologies (AWS ideally) Architecting and developing MLOps systems with tools EG Sagemaker, Airflow, MLFlow Understanding and commercial experience with monitoring systems EG Grafana, Sentry It would be great if you have: Graph modelling experience, and relevant more »
professional experience as a Data Engineer, specializing in creating scalable data solutions - Proficient in Salesforce - Extensive experience with AWS Data Cloud, AWS Glue, and SageMaker - Demonstrated success in building and overseeing the technical development of large-scale data platforms - Familiarity with Cloud Data Warehouses or OLAP engines such as more »
programming Familiarity with AWS Redshift or similar cloud DWH platforms such as Snowflake or BigQuery Proficiency with SQL and experience with relational databases (e.g. Amazon Redshift), NoSQL databases (e.g. DynamoDB), and graph databases (e.g. Amazon Neptune) Experience with infrastructure as code tools (e.g. CloudFormation, Terraform) and CI/… Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Postman API tests All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Figma Data Platform Engineer more »
with existing systems. Provide leadership in the cloud adoption journey and ensure best practices in data architecture . Must-Have Skills : Strong expertise in Amazon Web Services (AWS) , including services like SageMaker, EC2, Redshift, and Lambda. Experience with Business Intelligence (BI) and Data Exploration solutions (e.g., Power BI more »