Cerebra Consulting Inc
Location
Findlay, OH | United States
Job description
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.
Hello,
Hope you are doing good!!
We at Cerebra Consulting, Inc. have an exciting job opening with one of our clients. Please go through the job description below and if you are interested, share your update resume with contact details-
Position : Cloud Engineer (only W2 candidate)
Location: 4 days hybrid Onsite -Findlay, OH/San Antonio, TX ---- 4 days hybrid Onsite But OH location is first target
Duration: Long Term Contract
Looking for candidates available to work hybrid (4 days onsite, 1 day remote) in Findlay, OH (San Antonio, TX is also an option but Findlay is our target location) - IV times are set for week of 03/11/2024
Required Skills
Python, Azure, DevOps, Building/Monitoring Machine Learning pipelines, PowerShell, PowerQuery
Additional Skills
Azure DP-100 cert is preferred
We are seeking a highly skilled ML Engineer with a strong background in Azure Cloud Engineering and Azure Machine Learning (AzureML) to join our team. The successful candidate will be responsible for designing, implementing, and maintaining our machine learning operations infrastructure within AzureML, ensuring efficient model development, deployment, and monitoring processes.
Key Responsibilities
Monitor Azure Cloud resources, including AzureML environments and model performance, optimizing resource use and addressing issues to maintain high service reliability.
Collaborate with data scientists, Hybrid Cloud, and DevOps for seamless ML model integration into production, ensuring scalability and reliability.
Design, implement, and manage ML pipelines within AzureML for end-to-end automation of data processing, model training, validation, and deployment.
Utilize AzureML for efficient scaling of ML models, applying best practices in version control, CI/CD, and lifecycle management.
Manage CI/CD processes for machine learning models using Azure DevOps tools.
Stay updated with the latest in Azure AI/ML features, applying best practices to leverage cloud-based AI/ML technologies effectively.
Keep abreast of Azure advancements and best practices to enhance cloud-based AI/ML technology utilization.
Qualifications
Proven (3+ years) experience in Azure Cloud engineering with a strong focus on AzureML, including managing ML workflows.
Expertise in Python for AI/ML workflows, proficient with additional scripting languages.
Familiar with Azure DevOps (ADO), CI/CD practices, and Azure AI/ML services.
Strong foundation in AI/ML principles, with practical experience in deploying models at scale.
Holds a Bachelor's or Master's degree in Computer Science, Engineering, or related field, demonstrating a comprehensive understanding of both theoretical and applied aspects of machine learning and software engineering.
Proven track record of successful AI/ML model deployments in Azure.
Azure DP-100 Certification preferred.
Why Join Us:
Join our team and contribute to the cutting-edge of artificial intelligence and machine learning technology, leveraging Azure to drive innovation and operational excellence in our AI/ML initiatives
Vivek Srivastava
US IT Recruiter
Cerebra Consulting Inc ,
Contact -: ext.-164
mail -
Report this jobJob tags
Salary
