Job Summary
We are seeking a highly skilled Sr. Developer with 6 to 9 years of experience to join our team. The ideal candidate will have expertise in Google Vertex AI ML Ops Docker AI & ML Concepts Machine Learning Artificial Intelligence Google Cloud-Machine Learning Kubernetes Terraform and GIT. The role is based in our office and operates during day shifts. No travel is required.
Responsibilities
Develop and implement machine learning models using Google Vertex AI to solve complex business problems.Oversee the deployment and management of ML Ops pipelines to ensure seamless integration and operation.Utilize Docker for containerization of applications to enhance scalability and portability.Apply AI and ML concepts to design innovative solutions that improve business processes.Conduct thorough data analysis and preprocessing to prepare datasets for machine learning models.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Implement machine learning algorithms and techniques to build predictive models.Manage and optimize cloud-based machine learning environments on Google Cloud.Utilize Kubernetes for orchestration of containerized applications to ensure high availability and reliability.Employ Terraform for infrastructure as code to automate the provisioning of cloud resources.Use GIT for version control to manage codebase and collaborate with other developers.Provide technical guidance and mentorship to junior developers to foster their growth.Ensure that all developed solutions adhere to best practices and industry standards.Monitor and evaluate the performance of machine learning models to ensure accuracy and efficiency.Stay updated with the latest advancements in AI and ML technologies to continuously improve solutions.Contribute to the companys purpose by developing innovative AI solutions that have a positive impact on society.
Qualifications
Must have strong experience in Google Vertex AI and ML Ops.Should be proficient in Docker and Kubernetes for container orchestration.Must possess in-depth knowledge of AI & ML Concepts and Machine Learning algorithms.Should have hands-on experience with Google Cloud-Machine Learning.Must be skilled in using Terraform for infrastructure automation.Should be proficient in GIT for version control.Nice to have experience in mentoring junior developers.Should have excellent problem-solving skills and the ability to work in a collaborative environment.Must have strong communication skills to effectively interact with cross-functional teams.Should be detail-oriented and able to manage multiple tasks simultaneously.Must be committed to continuous learning and staying updated with industry trends.Should have a passion for developing innovative solutions that drive business success.
Certifications Required
Google Professional Machine Learning Engineer Certified Kubernetes Administrator Terraform Associate Certification
