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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics.
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Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Work closely with cross-functional teams, including computational chemistry, bioinformatics, and medicinal chemistry, to integrate machine learning solutions. This is a strategic leadership role that requires a deep understanding of machine learning, drug discovery, and computational chemistry.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Strong hands-on experience working with various AWS services including but not limited to IAM, EC2, S3, ELB/ALB, RDS/Aurora, ElastiCache Proven experience in setting up DevOps infrastructure, CI/CD pipelines, driving automated build management using GitLab, Jenkins, Nexus, Sonar, Ansible Tower, Maven, Code Commit, Code Pipeline and Code build services.
$75.09 - $99.21 an hourFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Responsibilities:Lead the growth of Data and Analytics practice for Financial Services and InsuranceProvide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Job Title Cloud Infrastructure Engineer AWS. Strong hands-on experience working with various AWS services including but not limited to IAM, EC2, S3, ELB/ALB, RDS/Aurora, ElastiCache, ECS/EKS.
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Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud. Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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Hands-on experience with cloud technologies and platforms (e.g., AWS). Knowledge of data analytics, machine learning, and AI applications in pharmaceutical manufacturing.
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machine learning hands aws cloud jobs Title: data engineer in New York, NY
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