Role Purpose
The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters
Do
1. Instrumental in understanding the requirements and design of the product/ software
2. Perform coding and ensure optimal software/ module development
3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution
Deliver
| No. | Performance Parameter | Measure |
| 1. | Continuous Integration, Deployment & Monitoring of Software | 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan |
| 2. | Quality & CSAT | On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation |
| 3. | MIS & Reporting | 100% on time MIS & report generation |
Job Summary: Machine Learning
Location- Waltham, MA
Key Responsibilities: Build and improve National Grid’s AI Platform. The primary goal is to design and implement the core REST API that powers the platform. Collaborate with other IT teams (e.g., security, cloud etc.) to deliver a reliable, secure and easy-to-use AI platform for teams to use.
Required Skills: Core skills include Python and asynchronous REST API development using FastAPI, relational database design, and infrastructure automation using Terraform. Strong Microsoft Azure experience is required, including identity and access management, secrets management and private networking, alongside Git, GitHub Actions, CI/CD pipelines, and automated testing. Strong troubleshooting, debugging, and error-handling skills, with experience implementing effective logging, monitoring, and observability practices, are also required. Familiarity with Azure Machine Learning, Microsoft Foundry, and MLOps practices is a plus.
Preferred Qualifications: Demonstrated experience delivering production backend services, cloud platforms, or self-service infrastructure tooling, ideally supporting AI and machine learning teams. Strong hands-on experience with Microsoft Azure and Infrastructure as Code using Terraform is required; experience in energy, utilities, or other regulated enterprise environments is a plus. Able to own end-to-end feature delivery across APIs, databases, infrastructure, and deployment pipelines, while maintaining and improving an existing codebase. Experienced in collaborating with security, cloud, and networking teams to meet enterprise requirements. Produces maintainable, well-tested code, clear technical documentation and handovers, and can effectively communicate architecture decisions and technical trade-offs to both technical and non-technical stakeholders.
Mandatory Skills: Machine Learning
Experience: 5-8 Years
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
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