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GSPANN Technologies
36 GSPANN Technologies Jobs
AIOps Engineer (8-10 yrs)
GSPANN Technologies
posted 4d ago
Flexible timing
Key skills for the job
Experience : 8-10 years of experience in software development, with a focus on AI/ML operations, cloud infrastructure, and DevOps practices.
Job Description :
Required Skills & Qualifications :
- Advanced proficiency in Python, including experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas.
- Strong experience in designing, developing, and maintaining RESTful APIs for AI/ML model deployment and integration.
- In-depth understanding of Machine Learning Operations, including model versioning, monitoring, deployment, and automation of ML workflows.
- Familiarity with Large Language Models (LLMs), including experience working with transformer-based models such as GPT, BERT, or T5.
- Hands-on experience with Azure Cloud services (Azure ML, Azure DevOps, Azure Functions, etc.) and cloud infrastructure management
- Proficient in setting up CI/CD pipelines for AI/ML models and using tools like Jenkins, GitLab, or Azure DevOps for automation.
- Experience working with data storage and processing tools like Azure Blob Storage, Azure SQL Database, Kafka, or similar.
- Expertise with Git and version control best practices for collaborative development of AI systems.
- Strong analytical and troubleshooting skills, with the ability to identify root causes and optimize AI/ML models and systems.
- Excellent communication skills and the ability to work effectively in a cross-functional team environment.
Preferred Skills :
- Azure certifications such as Azure Solutions Architect, Azure AI Engineer, or Azure DevOps Engineer.
- Understanding of security best practices in AI model deployment and experience with secure handling of sensitive data in the cloud.
- Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) and integration with AI/ML pipelines.
- Experience working in Agile teams, with knowledge of Scrum, Kanban, or similar frameworks.
Education :
A Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field is preferred.
Functional Areas: Other
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