We are looking for enthusiastic engineers passionate about building and maintaining solutioning platform components on cloud and Kubernetes infrastructure. The ideal candidate will go beyond traditional SRE responsibilities by collaborating with stakeholders, understanding the applications hosted on the platform, and designing automation solutions that enhance platform efficiency, reliability, and value.
Responsibilities
- Technology and Sub-technology: ML Engineering / Modelling, Python Programming.
- GPU frameworks: TensorFlow, Keras, Pytorch, etc.
- Cloud-based ML development and deployment on AWS or Azure.
Requirements
- Education Qualification: B. E or Btech.
- Bachelor's Degree in Computer Science, Computer Engineering, or equivalent technical degree.
- Proficient programming knowledge in Python or Java and the ability to read and explain open source codebase.
- Good foundation of Operating Systems, Networking, and Security Principles.
- Exposure to DevOps tools, with experience integrating platform components into Sagemaker/ECR and AWS Cloud environments.
- 4-6 years of relevant experience working on AI/ML projects.
Primary Skills
- Excellent analytical and problem-solving skills.
- Exposure to Machine Learning and GenAI technologies.
- Understanding and hands-on experience with AI/ML Modeling, Libraries, frameworks, and Tools (TensorFlow, Keras, Pytorch, etc. ).
- Strong knowledge of Python, SQL/NoSQL.
- Cloud-based ML development and deployment on AWS or Azure.
- Relevant education or certification in AI/ML.
Good To Have Skills
- Experience in GitHub, AWS Code Pipeline, and Sagemaker will be an advantage.
- Experience in MySQL, NoSQL, and Columnar database.
- Exposure to data management and cost optimisation in the cloud.
This job was posted by Nalini K from DigiSprint Solutions.
