MLOps Architect

• Overall Experience of 12-15 Yrs Experience supporting machine learning projects.
• Expert with Client platforms (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms (e.g. Azure).
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Experience with big data tools (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL).
• Knowledge of machine learning concepts and workflows.
• Strong programming skills (e.g., Python, Java).
• Excellent problem-solving abilities and attention to detail.
• Strong communication skills to effectively collaborate with other teams.
• Design and optimize pipelines for model deployments in production environments using containers (Docker or Azure Kubernetes), Azure DevOps and/or MLOps and Azure Data Factory.
• Knowledge of Azure Databricks pipeline and Client Model deployment is mandatory.
• Implement efficient microservices frameworks i.e. API Management, message broker, load balancing, etc
• Troubleshoot, improve, and scale continuous integration, continuous delivery, and continuous deployment (CI/CD) pipelines
• Write design documents to build consensus for new systems components and enhancements to existing components
• Extensive programming experience in Python and/or R with knowledge of Object-Oriented Programming.
• Experience in Azure DevOps & Azure Cloud Services (e.g. Azure Blob, Azure Key Vault, Azure Data Factory) or similar experience with AWS or Google
• Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools
• Demonstrated history of designing solution pipelines from conception to deployment in production environments e.g. Docker containers on Kubernetes-based platforms with data orchestration in Azure Data Factory

Nice to Have:

• Knowledge of JFrog Artifactory is a plus.
• Experience with front-end user interface development using various HTML-related tool frameworks like Django, FastAPI (Python), Java/Javascript etc
• Experience with in memory and/or distributed computing frameworks (e.g. Spark, Hadoop)
• Conduct performance testing on API endpoints and batch jobs to identify and correct CPU and memory bottlenecks

Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.