Sr. Developer

Job Summary

We are seeking a highly skilled Sr. Developer with 8 to 10 years of experience to join our dynamic team. The ideal candidate will have expertise in Azure Databricks Azure ML Studio ML Ops Docker AI and ML concepts Machine Learning Artificial Intelligence Kubernetes Terraform Azure Machine Learning and GIT. This role involves working in a hybrid model with a focus on day shifts and no travel is required. The candidate will contribute to innovative projects that drive the companys miss

Responsibilities

• Develop and implement advanced machine learning models using Azure Databricks and Azure ML Studio to enhance business processes and decision-making.
• Collaborate with cross-functional teams to design and deploy scalable AI solutions that align with company objectives.
• Utilize ML Ops practices to streamline the deployment and monitoring of machine learning models in production environments.
• Employ Docker and Kubernetes for containerization and orchestration of applications ensuring efficient resource management.
• Apply AI and ML concepts to solve complex problems and improve product offerings contributing to the companys competitive edge.
• Leverage Terraform for infrastructure as code to automate the provisioning and management of cloud resources.
• Maintain version control and collaborate on code development using GIT ensuring high-quality software delivery.
• Provide technical expertise and guidance on best practices for AI and ML development fostering a culture of innovation.
• Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
• Stay updated with the latest advancements in AI and ML technologies to continuously improve solutions and methodologies.
• Document processes and methodologies to facilitate knowledge sharing and team collaboration.
• Support the integration of AI and ML solutions into existing systems enhancing overall functionality and performance.
• Contribute to the companys purpose by developing AI solutions that have a positive impact on society.

Qualifications

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• Possess a strong understanding of Azure Databricks and Azure ML Studio with hands-on experience in developing machine learning models.
• Demonstrate proficiency in ML Ops practices ensuring seamless deployment and monitoring of models.
• Have experience with Docker and Kubernetes for efficient application containerization and orchestration.
• Exhibit a deep knowledge of AI and ML concepts with the ability to apply them to real-world scenarios.
• Show expertise in using Terraform for automating cloud infrastructure management.
• Be skilled in using GIT for version control and collaborative software development.
• Display a commitment to continuous learning and staying abreast of industry trends in AI and ML.