JOB SUMMARY

We are seeking a highly skilled Sr. Developer with 8 to 12 years of experience to join our dynamic team. The ideal candidate will have extensive expertise in Azure ML Studio ML Ops Docker AI & ML Concepts Machine Learning Artificial Intelligence Kubernetes Terraform Azure Machine Learning and GIT. Additionally experience in Finance & Accounting and Devices/SPM domains is mandatory. This role involves developing and deploying advanced machine learning models to solve complex business p

Responsibilities

• Develop and deploy advanced machine learning models using Azure ML Studio to solve complex business problems.
• Implement ML Ops practices to streamline the machine learning lifecycle and ensure efficient model deployment.
• Utilize Docker for containerization to ensure consistent and scalable deployment of machine learning applications.
• Apply AI & ML concepts to design and develop innovative solutions that enhance business processes.
• Leverage Kubernetes for orchestrating containerized applications to ensure high availability and scalability.
• Use Terraform for infrastructure as code to automate the provisioning of cloud resources.
• Collaborate with cross-functional teams to integrate machine learning models into existing systems and workflows.
• Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
• Monitor and maintain deployed models to ensure optimal performance and address any issues that arise.
• Provide technical guidance and mentorship to junior developers to foster a culture of continuous learning and improvement.
• Stay updated with the latest advancements in AI & ML technologies and incorporate them into the development process.
• Work closely with stakeholders in the Finance & Accounting and Devices/SPM domains to understand their requirements and deliver tailored solutions.
• Document all development processes models and workflows to ensure transparency and reproducibility.

Qualifications

• Possess a strong background in Azure ML Studio ML Ops Docker AI & ML Concepts Machine Learning Artificial Intelligence Kubernetes Terraform Azure Machine Learning and GIT.
• Demonstrate extensive experience in the Finance & Accounting and Devices/SPM domains.
• Exhibit excellent problem-solving skills and the ability to think critically and creatively.
• Show proficiency in programming languages such as Python or R.

• Develop and deploy advanced machine learning models using Azure ML Studio to solve complex business problems.
• Implement ML Ops practices to streamline the machine learning lifecycle and ensure efficient model deployment.
• Utilize Docker for containerization to ensure consistent and scalable deployment of machine learning applications.
• Apply AI & ML concepts to design and develop innovative solutions that enhance business processes.
• Leverage Kubernetes for orchestrating containerized applications to ensure high availability and scalability.
• Use Terraform for infrastructure as code to automate the provisioning of cloud resources.
• Collaborate with cross-functional teams to integrate machine learning models into existing systems and workflows.
• Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
• Monitor and maintain deployed models to ensure optimal performance and address any issues that arise.
• Provide technical guidance and mentorship to junior developers to foster a culture of continuous learning and improvement.
• Stay updated with the latest advancements in AI & ML technologies and incorporate them into the development process.
• Work closely with stakeholders in the Finance & Accounting and Devices/SPM domains to understand their requirements and deliver tailored solutions.
• Document all development processes models and workflows to ensure transparency and reproducibility