About the Job
We are seeking a highly skilled Senior Developer with 8 to 12 years of experience to join our dynamic team. The ideal candidate will possess extensive expertise in Azure ML Studio, ML Ops, Docker, AI & ML Concepts, Machine Learning, Artificial Intelligence, Kubernetes, Terraform, Azure Machine Learning, and GIT. Experience in the Finance & Accounting and Devices/SPM domains is mandatory.
Key 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, fostering 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
- Strong background in Azure ML Studio, ML Ops, Docker, AI & ML Concepts, Machine Learning, Artificial Intelligence, Kubernetes, Terraform, Azure Machine Learning, and GIT.
- Extensive experience in the Finance & Accounting and Devices/SPM domains.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Proficiency in programming languages such as Python or R.
Certifications Required
- Azure Data Scientist Associate
- Certified Kubernetes Administrator (CKA)
- Terraform Associate Certification
