Posted:3 weeks ago|
Platform:
Work from Office
Full Time
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. This role is based in our office and operates during day shifts. No travel is required. Responsibilities Lead the development and deployment of machine learning models using Google Vertex AI and other AI & ML tools. Oversee the implementation of ML Ops practices to ensure the smooth operation and maintenance of machine learning models. Provide expertise in Docker to containerize applications and manage their deployment. Utilize advanced AI & ML concepts to develop innovative solutions that meet business needs. Implement machine learning algorithms and models to solve complex problems and improve decision-making processes. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Manage and optimize Google Cloud-Machine Learning resources for efficient model training and deployment. Use Kubernetes for orchestrating containerized applications and ensuring their scalability and reliability. Apply Terraform for infrastructure as code to automate the provisioning and management of cloud resources. Utilize GIT for version control and collaboration on code development. Ensure the quality and performance of machine learning models through rigorous testing and validation. Stay updated with the latest advancements in AI & ML technologies and incorporate them into the development process. Contribute to the continuous improvement of development processes and best practices. Qualifications Must have strong experience with Google Vertex AI and ML Ops. Must be proficient in Docker for containerization and deployment. Must have a deep understanding of AI & ML concepts and their practical applications. Must have hands-on experience with machine learning and artificial intelligence. Must be skilled in Google Cloud-Machine Learning for model training and deployment. Must have experience with Kubernetes for container orchestration. Must be proficient in Terraform for infrastructure as code. Must have experience with GIT for version control. Nice to have experience in integrating machine learning solutions into existing systems. Nice to have experience in collaborating with cross-functional teams. Nice to have experience in staying updated with the latest AI & ML advancements. Certifications Required Google Cloud Professional Machine Learning Engineer Certified Kubernetes Administrator (CKA) Docker Certified Associate
Cognizant
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
My Connections Cognizant
Chennai, Tamil Nadu, India
Experience: Not specified
Salary: Not disclosed
27.5 - 42.5 Lacs P.A.
Bengaluru
20.0 - 25.0 Lacs P.A.
Chennai
9.0 - 13.0 Lacs P.A.
Bengaluru
8.0 - 12.0 Lacs P.A.
5.0 - 9.0 Lacs P.A.
4.0 - 7.0 Lacs P.A.
Hyderabad
5.0 - 9.0 Lacs P.A.
Navi Mumbai
4.0 - 7.0 Lacs P.A.
5.0 - 9.0 Lacs P.A.