Job Opening: Software Developer / Senior Software Developer / Software Development Manager
Company Overview
Our client is a leading Global Fortune 500 IT solutions company that specializes in delivering simple and scalable solutions to address complex business challenges. With a workforce of over 500000 employees they provide technical and domain expertise across various platforms and industries to help enterprise companies improve productivity efficiency and optimize their technology investments.
Position: Software Developer / Senior Software Developer / Software Development Manager
Experience: 516 years
Location: Pan India
Job Responsibilities:
- Researching and implementing MLOps tools frameworks and platforms for Data Science projects.
- Addressing a backlog of activities to enhance MLOps maturity within the organization.
- Introducing a modern agile and automated approach to Data Science proactively.
- Conducting internal training and presentations on the benefits and usage of MLOps tools.
Required experience and qualifications:
- Extensive experience with Kubernetes.
- Operationalization experience of Data Science projects (MLOps) using at least one popular framework or platform (e.g. Kubeflow AWS Sagemaker Google AI Platform Azure Machine Learning DataRobot DKube).
- Strong understanding of ML and AI concepts with handson experience in ML model development.
- Proficiency in Python for both ML and automation tasks along with good knowledge of Bash and Unix command line toolkit.
- Experience in implementing CI/CD/CT pipelines.
- Experience with cloud platforms preferably AWS would be an advantage.
Requirements
Requirements:
- Bachelor s or Master s degree in Computer Science Engineering or related field.
- Proven experience in software development and MLOps.
- Strong problemsolving skills and ability to work in a collaborative team environment.
- Excellent communication and presentation skills.
Extensive experience with Kubernetes. Operationalization experience of Data Science projects (MLOps) using at least one popular framework or platform (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Strong understanding of ML and AI concepts with hands-on experience in ML model development. Proficiency in Python for both ML and automation tasks, along with good knowledge of Bash and Unix command line toolkit. Experience in implementing CI/CD/CT pipelines. Experience with cloud platforms, preferably AWS, would be an advantage.
Education
Any graduate or post graduate