Other Service Line - GeoSpatial Engineer MAP - GSENGR
Apply NowCompany: Diamondpick
Location: Pittsburgh, PA 15237
Description:
Job Description: Max Vendor Rate Between $70-85
Remote
1. Job Title : GeoSpatial Engineer MAP 2. Job Summary : We are seeking a highly skilled GeoSpatial Engineer with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Luigi, Terraform, Kubernetes, Docker, AI and ML concepts, ML Ops, Amazon Sagemaker, Artificial Intelligence, AWS Machine Learning, and Machine Learning. This role offers a hybrid work model with day shifts and does not require travel. 3. Experience : 8 - 10 years 4. Required Skills : Technical Skills: Luigi,Terraform,Kubernetes,Docker,AI&ML Concepts,ML Ops,Amazon Sagemaker,Artificial Intelligence,AWS Machine Learning,Machine Learning Domain Skills: 5. Nice to have skills : Domain Skills: 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : - Develop and maintain geospatial data processing pipelines using Luigi to ensure efficient data workflows. - Implement infrastructure as code using Terraform to manage and provision cloud resources. - Deploy and manage containerized applications using Kubernetes and Docker for scalable and reliable geospatial services. - Apply AI and ML concepts to analyze and interpret geospatial data for actionable insights. - Utilize ML Ops practices to streamline the deployment and monitoring of machine learning models. - Leverage Amazon Sagemaker for building, training, and deploying machine learning models at scale. - Integrate artificial intelligence techniques to enhance geospatial data analysis and decision-making processes. - Utilize AWS Machine Learning services to develop and deploy geospatial models and solutions. - Collaborate with cross-functional teams to understand project requirements and deliver high-quality geospatial solutions. - Provide technical expertise and guidance on geospatial data processing and analysis. - Ensure the security and integrity of geospatial data throughout the data lifecycle. - Stay updated with the latest advancements in geospatial technologies and machine learning. - Contribute to the companys mission by delivering innovative geospatial solutions that drive business growth and societal impact. Qualifications - - Must have strong experience with Luigi for data pipeline development. - Should be proficient in using Terraform for infrastructure management. - Must have hands-on experience with Kubernetes and Docker for container orchestration. - Should have a deep understanding of AI and ML concepts and their application in geospatial analysis. - Must be experienced in ML Ops practices for efficient model deployment. - Should have expertise in using Amazon Sagemaker for machine learning workflows. - Must be knowledgeable in artificial intelligence techniques for geospatial data. - Should have experience with AWS Machine Learning services. - Must have a solid understanding of machine learning principles and practices. - Should possess excellent problem-solving and analytical skills. - Must have strong communication and collaboration skills. - Should be able to work independently and as part of a team. - Must be committed to continuous learning and professional development. 9. Job Location : Primary Location :USPAPIHC01(ITUSA,Pittsburgh - PA USA, CLT/RMT) Alternate Location :NA,NA Alternate Location 1 :NA,NA 10. Job Type : Business Associate [60CW00] 11. Demand Requires Travel? : No 12. Certifications Required : NA
Additional Sills:
Remote
1. Job Title : GeoSpatial Engineer MAP 2. Job Summary : We are seeking a highly skilled GeoSpatial Engineer with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Luigi, Terraform, Kubernetes, Docker, AI and ML concepts, ML Ops, Amazon Sagemaker, Artificial Intelligence, AWS Machine Learning, and Machine Learning. This role offers a hybrid work model with day shifts and does not require travel. 3. Experience : 8 - 10 years 4. Required Skills : Technical Skills: Luigi,Terraform,Kubernetes,Docker,AI&ML Concepts,ML Ops,Amazon Sagemaker,Artificial Intelligence,AWS Machine Learning,Machine Learning Domain Skills: 5. Nice to have skills : Domain Skills: 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : - Develop and maintain geospatial data processing pipelines using Luigi to ensure efficient data workflows. - Implement infrastructure as code using Terraform to manage and provision cloud resources. - Deploy and manage containerized applications using Kubernetes and Docker for scalable and reliable geospatial services. - Apply AI and ML concepts to analyze and interpret geospatial data for actionable insights. - Utilize ML Ops practices to streamline the deployment and monitoring of machine learning models. - Leverage Amazon Sagemaker for building, training, and deploying machine learning models at scale. - Integrate artificial intelligence techniques to enhance geospatial data analysis and decision-making processes. - Utilize AWS Machine Learning services to develop and deploy geospatial models and solutions. - Collaborate with cross-functional teams to understand project requirements and deliver high-quality geospatial solutions. - Provide technical expertise and guidance on geospatial data processing and analysis. - Ensure the security and integrity of geospatial data throughout the data lifecycle. - Stay updated with the latest advancements in geospatial technologies and machine learning. - Contribute to the companys mission by delivering innovative geospatial solutions that drive business growth and societal impact. Qualifications - - Must have strong experience with Luigi for data pipeline development. - Should be proficient in using Terraform for infrastructure management. - Must have hands-on experience with Kubernetes and Docker for container orchestration. - Should have a deep understanding of AI and ML concepts and their application in geospatial analysis. - Must be experienced in ML Ops practices for efficient model deployment. - Should have expertise in using Amazon Sagemaker for machine learning workflows. - Must be knowledgeable in artificial intelligence techniques for geospatial data. - Should have experience with AWS Machine Learning services. - Must have a solid understanding of machine learning principles and practices. - Should possess excellent problem-solving and analytical skills. - Must have strong communication and collaboration skills. - Should be able to work independently and as part of a team. - Must be committed to continuous learning and professional development. 9. Job Location : Primary Location :USPAPIHC01(ITUSA,Pittsburgh - PA USA, CLT/RMT) Alternate Location :NA,NA Alternate Location 1 :NA,NA 10. Job Type : Business Associate [60CW00] 11. Demand Requires Travel? : No 12. Certifications Required : NA
Additional Sills: