IT - Technology Analyst | IOT | Azure IoT

POC: Bharath Subramanya

******ATTENTION ALL SUPPLIERS******

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Limited to 2 submission per supplier. Please submit your best.
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
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MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

Job title: Technical Developer Machine Learning & Cloud Engineering
Work Location: Chicago, IL - 60604
Vendor Rate: ####
Minimum years of experience:8
Would you require the candidates to meet you for in person interview? No
Is Skype/WebEx interview,OK? Ok
Is this onsite/remote position: Onsite
If onsite, will you be considering relocation candidates: Yes
Does this position require Visa independent candidates only? Yes

Job Description:
We are seeking a Technical Developer with strong hands-on expertise in Machine Learning, Data Science, Go (Golang), Python, Microsoft Azure, and Azure Kubernetes Service (AKS). The ideal candidate will develop and deploy solutions that integrate data science and machine learning capabilities with modern software engineering practices.

Key Responsibilities
Design and develop scalable applications and services using Go and Python.
Develop and operationalize Machine Learning and Data Science solutions, including data preparation, model development, integration, and deployment.
Build and deploy cloud-native applications and ML workloads on Microsoft Azure and AKS.
Develop APIs, microservices, and backend components supporting ML and data-driven applications.
Implement containerized solutions using Docker and Kubernetes/AKS, including deployment, scaling, monitoring, and troubleshooting.
Collaborate with data scientists, engineers, architects, and product teams to translate technical requirements into production-ready solutions.
Apply sound engineering practices covering source control, CI/CD, automated testing, observability, security, and performance optimization.

Critical Skills
Machine Learning
Data Science
Go (Golang)
Python
Microsoft Azure
Azure Kubernetes Service (AKS)
Kubernetes, Docker, APIs/microservices, cloud-native development, and CI/CD

Experience
No minimum number of years required. Candidates should demonstrate strong practical proficiency in the critical technologies through relevant professional experience, projects, or equivalent hands-on technical work.

Project Code: CnIS TnM Support SoW