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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Keywords: Cloud, AWS, Azure, GCP, DevOps, CI/CD, Terraform, Docker, Kubernetes, Python, Github, Jenkins, Linux, Windows. Deployment, automation, management, and maintenance of AWS cloud-based production system.
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Work with internal cloud infrastructure like HPC or AWS Batch to run millions machine learning training jobs. Excellent proficiency in Java, Kotlin, Go or Python. Prior experience developing for and administering to a large-scale platform for work Kubernetes or AWS Batch.
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Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP. Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud.
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Nice to have: Kubernetes, graphql, AWS / Google Cloud as well as Agile / SCRUM / Kanban. We are looking for a mid/senior Python Developer. Minimum 3 years of experience working with Python.
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Experience developing and maintaining Cloud CI/CD pipeline tools and environments in a large enterprise using Github, Jenkins, Github Actions Build automation tools, Cmake, Bazel, Conan, Docker, Terraform Experience in Github version control doing merging and branching of code with automation Experience writing scripts using Python, Bash, PowerShell, and/or Groovy Experience working with cloud platforms and services particularly GCP but any cloud service is good too (AWS, Azure, GCP, etc.
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Strong background in software engineering, with expertise in relevant programming languages (like Python, Java, Go) and cloud platforms (like AWS, GCP, Azure) Proficiency in implementing monitoring and observability solutions using GCP monitoring services such as Cloud Monitoring, Logging, and Tracing.
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Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure. Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.
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Experience with cloud platforms (e.g., AWS, Azure, GCP). Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch). Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch.
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Solution Architect with Strong Cloud AWS & Java - Hybrid. Proficient in Application development with Cloud native services preferably AWS. Job Title: Solution Architect (AWS & Java.
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Proficient in Application development with Cloud native services preferably AWS Exceptional knowledge in Domain Driven Design Expertise in Object Oriented (OOPs), Object Relational (ORM) programming concepts Well-versed in Microservices, Service Oriented Architecture (SOA.
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Highly proficient in programming languages, such as SQL, Java, Python, Node. Note: Candidate must have more experience in AWS more than azure and must have good experience in java. Well-versed in Microservices, Service Oriented Architecture (SOA.
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Knowledge of containerization technologies (e.g., Docker, Kubernetes). 1+ years of post-graduate experience in machine learning, data science, or a related field. Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences.
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Client anticipates and leads change to remain in the leader’s quadrant for profitable growth, driven by partnerships with globally leading hyperscales like AWS, Google Cloud, and Microsoft.
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Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.