Job Description – Oracle Cloud Infrastructure (OCI) Data & AI Engineer (TCS)
Location: PAN India
Experience: 10+ Years
Job Summary
Tata Consultancy Services (TCS) is seeking an experienced Oracle Cloud Infrastructure (OCI) Data & AI Engineer with 10+ years of experience in cloud platforms, data engineering, analytics, machine learning, and AI solutions. The ideal candidate will be responsible for designing, developing, and deploying data and AI solutions on Oracle Cloud Infrastructure (OCI) to enable enterprise-scale analytics and intelligent decision-making.
Key Responsibilities
- Design and implement Data & AI solutions on Oracle Cloud Infrastructure (OCI).
- Develop scalable data pipelines, data lakes, and data warehouses.
- Build and deploy Machine Learning (ML) and AI models using OCI AI Services.
- Work with structured and unstructured data for advanced analytics use cases.
- Develop Data Engineering solutions using OCI Data Integration and Oracle Autonomous Database.
- Configure and manage OCI Data Science environments.
- Implement MLOps and model deployment frameworks.
- Integrate OCI services with Oracle ERP, SCM, HCM, and third-party applications.
- Optimize cloud performance, security, governance, and cost management.
- Collaborate with business stakeholders, architects, and data science teams.
Required Skills
- 10+ years of experience in Data Engineering, Analytics, AI, and Cloud technologies.
- Hands-on expertise in:
- Oracle Cloud Infrastructure (OCI)
- OCI Data Science
- OCI AI Services
- OCI Generative AI
- OCI Data Integration
- OCI Object Storage
- Oracle Autonomous Database
- Oracle Analytics Cloud (OAC)
- Strong experience in Python, SQL, Spark, and Data Engineering frameworks.
- Experience building AI/ML models and deploying them in cloud environments.
- Knowledge of data governance, security, and cloud architecture best practices.
- Experience with ETL/ELT processes and large-scale data migration projects.
Preferred Skills
- OCI AI Foundations Associate/Professional Certification.
- Experience with GenAI, LLMs, Retrieval-Augmented Generation (RAG), and Vector Databases.
- Exposure to Oracle Digital Assistant (ODA) and OCI Generative AI Services.
- Knowledge of MLOps, Kubernetes, Docker, and CI/CD pipelines.
Qualifications
- Bachelor's/Master's degree in Computer Science, IT, Data Science, AI, or related field.
- Oracle Cloud Certifications preferred.
