Azure AI Engineer

Job Title: Azure AI Engineer Job Location: Hyderabad, India / Pune, India Worksite: Hybrid (100%) Shift: UK Shift About WCT: WaferWire Technology Solutions (WCT) specializes in delivering comprehensive Cloud, Data and AI solutions through Microsoft's technology stack. Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment). About Role: This is an opportunity to showcase your expertise on a global stage. It’s a one-of-a-kind unique opportunity to work on cutting edge technologies and industry use cases in partnership with Microsoft. This program is designed to showcase Microsoft's cutting-edge technologies through live hosted industry scenario and product differentiator demos. These demos enable sellers to have a competitive edge by sparking customers' imaginations using compelling stories. The demos make it easy for sellers to demonstrate the art of the possible with Data and AI integrated with Apps and Infra, MW, and BizApps. Come and join us in building these cutting-edge technology industry solutions accelerators. We are seeking a highly skilled and motivated Azure AI Engineer to join our dynamic team. Responsibilities: The ideal candidate will have a strong background in artificial intelligence, machine learning, and cloud computing, with a focus on Azure AI services. This role involves designing, developing, and deploying AI solutions that leverage Azure's robust platform to solve complex business problems.

• Design and implement AI and machine learning models using Azure Machine Learning, Azure Cognitive Services, and other Azure AI tools.
• Develop and maintain scalable AI solutions that integrate with existing systems and data sources.
• Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions that meet business needs.
• Optimize AI models for performance, scalability, and reliability.
• Monitor and maintain AI solutions in production, ensuring they operate efficiently and effectively.
• Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to improve existing solutions.
• Provide technical guidance and mentorship to junior team members.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing and deploying AI solutions using Azure AI services.
• Strong programming skills in languages such as Python, R, or Java.
• Experience with Azure AI Search, Azure Open AI and a strong understanding of Responsible AI principles.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with Azure services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience with MLOps and deploying machine learning models in a production environment.
• Knowledge of data engineering and data integration techniques.
• Experience with big data technologies such as Apache Spark or Hadoop.
• Certification in Azure AI or related fields.

Equal Employment Opportunity Declaration: WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.