ML Ops Engineers
- Cygnus Professionals
- 3 - 7 years
- Mumbai
- 3 months ago
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Job Description
Role & responsibilities
Any Project specific Prerequisite skills
ML Ops Engineers - Python and Notebooks
Detailed JD
Responsibilities
Job Description We are seeking a skilled ML Ops Engineer to join our team and play a crucial role in deploying managing and optimizing machine learning models to support our Teradata Data Lake Lakehouse Platform The ideal candidate will have a strong understanding of machine learning operations CICD pipelines and proficiency in Python and Jupyter Notebooks
Responsibilities
- Develop and implement CICD pipelines for the deployment of machine learning models
- Automate the deployment monitoring and management of ML models to ensure efficiency and reliability
- Work closely with data scientists software engineers and IT operations to ensure seamless integration of ML models
- Monitor and troubleshoot model performance and system issues ensuring models are running optimally
- Ensure the security and scalability of ML systems implementing best practices for data protection and system performance
- Maintain accurate documentation of processes systems and workflows related to ML operations
- Continuously improve ML infrastructure and workflows to enhance system efficiency and reliability
- Implement and maintain onpremise MLOps solutions
- Design and manage model inferencing API endpoints
- Ensure proper model auditing and governance practices are in place
- Integrate MLOps with DevSecOps practices and workflows
- Utilize Jenkins for continuous integration and deployment of ML models
Requirements
- Bachelors or Masters degree in Computer Science Engineering or a related field
- 3 years of experience in ML Ops or similar role
- Strong proficiency in Python and Jupyter Notebooks
- Experience with CICD tools and practices
- Familiarity with Teradata and data lakelakehouse architectures
- Knowledge of cloud platforms AWS Azure or GCP
- Experience with containerization technologies eg Docker Kubernetes
- Strong problemsolving and communication skills
- Experience with onpremise ML Ops solutions
- Knowledge of model inferencing API endpoints and their implementation
- Understanding of model auditing and governance best practices
- Experience integrating ML Ops with Dev Sec Ops workflows
- Proficiency with Jenkins for CICD pipelines
Skills
Mandatory Skills : Docker, Kubeflow, Kubernetes, LLMOps, Model Life Cycle Management, Terraform
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: ContractContact Details:
Company: Cygnus ProfessionalsLocation(s): Mumbai
Keyskills: ML Ops Docker Machine Learning Python Kubernetes Cicd Methodology Terraform Devsecops Jupyter Notebook Teradata AWS
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