Position : - Machine Learning - Operations LEAD (ML) / MLOps Lead
Looking for Immediate Joiner / Within 20 days Max
Recruiter - Ms. Bhavani K | 91- 82480 95114 | Email :- bhavani@hashtagglobal.org
Roles and Responsibilities
- Ensure reliability and cost saving. Scale the proof of concept product to enterprise grade application with all the required components for reliability, scalability, monitoring and security.
- Suggest and implement the best practices from Software engineering to ML workflow to ensure
- CI/CD, reproducibility and quick delivery cycle.
- Lead and drive the deployment of ML models, life cycle management and monitoring of Machine Learning(ML) and Deep Learning (DL) models in in all stages leading to production
- Be a subject matter expert on DevOps practices, CI/CD and Configuration Management with
- assigned engineering team
- Automate and streamline ML operations and processes.
- Build and maintain tools for deployment, monitoring, and operations. Also troubleshoot and
- resolve issues in development, testing, and production environments
- Operate and maintain systems supporting the provisioning of new clients, applications, and
- features
- Work to improve Data scientist and Data engineer productivity and delivery speed by enabling
- them to be more self-sufficient with automated operational processes.
- Successfully devise and implement strategies to ensure ML heavy systems operate with high
- accuracy in Production and adapt to discovered needs.
- Collaborate with Data Scientists, Data Engineers, ML Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML/DL model life cycle
Desired Candidate Profile
.
- 8 to 10 years of industry experience working in Software Engineering, DevOps or Data
- Engineering with Data Science and MLOps experience.
- Strong DevOps, Data Engineering and Client background with AWS Experience with one or more of MLOps tools: ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC) etc.
- Experience in Distributed computing, Data pipelines, and AI/Client.
- Review and influence the engineering design, architecture and technology stack across multiple products
- Experience in Azure ML, Data Bricks, and Azure Kubernetes service.
- Extensive experience with Unix/AIX/Linux environments
- Experience with automation servers such as Jenkins, CloudBees, Travis, GitHub actions
- Experience with logging tools such as Splunk, ElasticSearch, Kibana, Logstash
- Familiarity with setting up Hyperparameter Tuning tools like optuna/ kubeflow/AWS Sagemaker or similar
- Familiarity with setting up model and experiment Versioning technologies like
- MLFLow/Kubeflow/AWS Sagemaker or similar
CONTACT FOR Information
Bhavani K | Recruitment Specialist | Mobile : 91- 82480 95114 | Email :- bhavani@hashtagglobal.org
RoleData Analyst
Industry TypeIT Services & Consulting
Functional AreaData Science & Analytics
Employment TypeFull Time, Permanent
Role CategoryBusiness Intelligence & Analytics
Education
UG :Any Graduate, B.Tech/B.E. in Any Specialization
PG :Any Postgraduate