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 »
frameworks and libraries such as PyTorch, sci-kit-learn, LangChain, LlamaIndex, and HuggingFace. - Experience with cloud platforms, including Azure (ML/AI Studio), AWS (Sagemaker & Bedrock), and GCP (Vertex AI). - Knowledge of models such as OpenAI GPT-4, Anthropic Claude-3 Opus, Google Gemin Skills: Advanced understanding of 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 »
building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective more »
building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective more »
Atlanta, Georgia, United States Hybrid / WFH Options
Innova Solutions
AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.) Experience using relational and object databases and web service development standards and practices, including RESTful APIs, micro-services, and services Experience working more »
Cambridge, Cambridgeshire, East Anglia, United Kingdom
Robert Walters
machine learning models in a cloud environment. Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn. Knowledge of AWS services such as SageMaker, EC2, Lambda, S3. Understanding of bioinformatics, computational biology or genomics is highly desirable. What sets this company apart: This biotech company is renowned for more »
building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective 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 »
advanced machine learning algorithms deep learning, boosting methods, time series etc. 5+ years of experience in SQL development Deep expertise with R, Python, Alteryx SageMaker, Spark, PySpark. SAS a bonus. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity more »
advanced machine learning algorithms deep learning, boosting methods, time series etc. 5+ years of experience in SQL development Deep expertise with R, Python, Alteryx SageMaker, Spark, PySpark. SAS a bonus. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity more »
learning models, software engineering practices, and machine learning operations. Experience or quick adaptability to our tech stack, including Python, AWS services (Step Functions, Glue, Sagemaker & Sagemaker Python SDK, Redshift, etc.), Jenkins, Terraform, FastAPI and SQL. Strong business understanding and the ability to draw meaningful conclusions from A/ more »
warehousing technology such as AWS Redshift, RDS, BigQuery, Databricks. Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Demonstrated experience with DevOps orchestration tools such as Github, Terraform, Ansible, Chef etc. Experience developing solutions on cloud computing more »
platforms, leveraging your deep experience with public cloud compute, database, and network solutions, especially as they relate to AI/ML managed services (i.e. Amazon Bedrock, SageMaker, Azure OpenAI, etc.) Produce cost and labor estimates and SOWs for potential AI/ML projects Collaborate and participate in the more »
week on site in Swansea, Wales SC clearance required (possibility of sponsorship) INSIDE IR35 Key skills: - Generative AI - Strong Architecture experience - Cloud and AWS Sagemaker (Essential) - Knowledge on Large Language Models (Essential) - Python (Essential) - Data science (beneficial/nice to have) The ideal candidate would be supporting and mentoring 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 »
Plymouth, Devon, United Kingdom Hybrid / WFH Options
NonStop Consulting
improve prospects for future contracting Opportunity to work in a SC cleared environment Essential Skills: AWS DEvOps Experience: Candidates MUST have Lakeformation, Glue, Athena, Sagemaker and API Gateway, Openshift, Puppet, Automation Suitable Candidates must have a min of 5 years working experience in UK - must be eligible undergoing SC 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 »
title: lo Local to MI Location: Troy, MI, USA Length: Long term Restriction: W2 or C2C Description: Webcam interview; Long term project Onsite (Need local candidates) Job Description: Summary The Sr. Data Engineer is responsible in understanding and supporting the more »
view to extend) Key Responsibilities: Engaging with customers on a personal and technical level to understand their business requirements and address queries on AWS, Amazon Connect, Lex, Lambda, Kendra and other AI/ML services Ensure customer success in designing, building and launching next-gen Amazon Connect based … smoothly in cloud and hybrid operating models Participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud, using Amazon Connect, Lex, Lambda and other AWS Cloud technologies Ability to implement AWS based AI automation solutions on cloud contact centre technologies that can be … Node.js as well as REST API design on modern web stacks such as Node.js or Python Experience with AWS technologies such as AWS Lambda, Amazon Lex, DynamoDB, S3, Sagemaker, Contact Lens, Transcribe etc. and how they may be leverage alongside Amazon Connect to enhance contact centre performance more »
