Description :

Role & responsibilities :

- Design, implement, and manage AI/ML pipelines for deployment and monitoring with implementing best practices.

- Collaborate with data scientists and software engineers to ensure seamless integration of machine learning models.

- Develop automation tools and processes to enhance productivity and efficiency in model deployment and maintenance.

- Ensure optimal performance through continuous monitoring and tuning.

- Manage cloud-based and on-premises infrastructure to support AI/ML operations.

- Engage in conducting regular reviews and audits ensure compliance with industry standards and regulatory requirements.

- Troubleshoot and resolve issues related to AI/ML applications and services.

Preferred candidate profile :

- B.E./B.Tech. or M.C.A. in Computer Science or AI/ML from a reputed University.

- 4+ years of experience within relevant technologies

- Proven experience in AI/MLOps or a similar role, preferably in a financial services environment.

- Strong proficiency in scripting languages like Groovy, Bash, Powershell, Python

- Expertise in cloud platforms like AWS, Azure.

- Solid understanding of containerisation technologies such as Docker and orchestration tools like Kubernetes.

- Experience working on Security tools like SONAR, Checkmarx, Nexus Rapid7, DAST

- Experience with CI/CD pipelines and tools such as Jenkins, GitHub, UrbanDeploy for code-management and deployments.

- Knowledge around deployments of Control-M, Ni-Fi, Informatica.

- Hands-on experience in handling database deployments, Java, and Python API deployments.

- Familiarity with machine learning frameworks.

- Excellent problem-solving skills and attention to detail.

- Strong communication skills and ability to collaborate effectively within a team.

Desirable Attributes :

- Knowledge of data security and privacy practices.

- Certifications in cloud services or AI/MLOps tools.