ML Architect
Share
Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a Machine Learning & Deep Learning Lead/Architect to design and operationalize scalable ML/DL solutions using open-source AI frameworks and Oracle Cloud Infrastructure (OCI). In this role you will define end-to-end architecture for model development and production deployment building robust MLOps pipelines for training automated release monitoring governance and continuous improvement. You will leverage OCI Data Science OCI AI Services OCI Object Storage and GPU instances to deliver cost-effective secure and high-performing ML workloads while integrating tools such as MLflow Kubeflow and Airflow for reproducibility versioning and CI/CD. You will partner closely with product data and engineering teams to align technical choices with business outcomes establish best practices for reliability and compliance and mentor practitioners across modern ML/DL frameworks and cloud-native delivery. This role requires strong technical depth architectural leadership and excellent stakeholder communication.
Skills Required
- 10 years of ML/DL experience with 3 years in architecture/leadership roles.
- Proven track record of deploying ML/DL solutions using open-source frameworks and MLOps practices.
- Hands-on experience with Oracle Cloud Infrastructure (OCI Data Science AI Services Object Storage GPU/accelerators).
- Strong knowledge of MLOps tools
- Excellent leadership communication and stakeholder management skills.
Responsibilities
Key Responsibilities
- Architect ML/DL solutions using open-source frameworks (TensorFlow Hugging Face Scikit-learn).
- Design and implement MLOps pipelines for model training deployment monitoring and governance.
- Leverage OCI services (OCI Data Science OCI AI Services OCI Object Storage OCI GPU instances) for scalable ML workloads.
- Integrate open-source MLOps tools (MLflow Kubeflow Airflow) with OCI-native services.
- Define standards for reproducibility versioning and automated CI/CD of ML models.
- Collaborate with product data and engineering teams to align ML/DL architecture with business goals.
- Ensure cost optimization scalability and compliance in ML/DL deployments on OCI.
- Mentor teams in open-source ML/DL frameworks OCI cloud-native practices and MLOps methodologies.
- Stay updated with advancements in open-source AI OCI services and MLOps tooling.
Lead execution of projects across Machine Learning and Deep Learning frameworks
| Category | Skills |
| Programming Languages | Python Object Oriented Python C Anaconda/Miniconda OCI Data Science |
| Open Source ML/DL | TensorFlow Hugging Face Transformers Scikit-learn |
| Data Handling | Pandas NumPy Seaborn Matplotlib Open-source ETL tools - PySpark |
| Model Development | Classical ML CNNs RNNs GANs Transformers Reinforcement Learning |
| MLOps Practices | Model lifecycle management CI/CD for ML Automated retraining Monitoring & Logging |
| MLOps Tools | MLflow Kubeflow Airflow Docker Kubernetes GitOps |
| Oracle Cloud Services | OCI Data Science OCI AI Services OCI Object Storage OCI GPU/Accelerators |
| Architecture Skills | Distributed Systems Microservices (Flask) API Design (FastAPI) Cloud-native patterns |
| Mathematics & Stats | Linear Algebra Probability Optimization Statistical Modeling |
| Soft Skills | Leadership Strategic Thinking Collaboration Communication |
Qualifications
Career Level - IC3
Required Experience:
Staff IC
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
About Company
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when eve ... View more
