Senior Data & AI Platform Engineer
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Key skills for this role
About the Role
Times World Information Technology is looking for a Senior Data & AI Platform Engineer with expertise in data architecture, database design, and scalable system development. The role involves designing backend systems, data pipelines, and collaborating with AI/ML teams.
Key Skills for This Role
Responsibilities
- Design and develop scalable backend systems
- Define and implement data architecture and database design strategies
- Build and optimize data ingestion and transformation pipelines
- Develop and maintain unified data models across multiple systems
- Design end to end data flows and integration strategies
- Collaborate with cross functional teams to ensure efficient data handling and processing
- Ensure system scalability, performance, and reliability
- Work closely with AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
- Prepare, validate, and deliver clean, structured data to support AI/ML systems
- Consume and integrate outputs from ML models into data pipelines and backend systems
Requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field
- 5 7 years of experience
- Strong knowledge of data modeling (OLTP vs OLAP)
- Strong knowledge of data lake architecture and data warehousing concepts
- Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)
- Strong hands on experience with relational databases (e.g. PostgreSQL, MS SQL Server, MySQL)
- Working knowledge of non relational/NoSQL databases (e.g. MongoDB, SQLite, TimescaleDB, Redis)
- Understanding of graph databases (e.g. Apache AGE, Neo4j concepts)
- Ability to design scalable backend architectures and data flows
- Currently residing in the UAE
Full Job Posting
Job Overview
- We are looking for a Senior Data & AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development.
- The ideal candidate should have a deep understanding of data engineering concepts, modern data platforms, and the ability to design robust, scalable backend systems and data pipelines.
Key Responsibilities
- Design and develop scalable backend systems
- Define and implement data architecture and database design strategies
- Build and optimize data ingestion and transformation pipelines
- Develop and maintain unified data models across multiple systems
- Design end to end data flows and integration strategies
- Collaborate with cross functional teams to ensure efficient data handling and processing
- Ensure system scalability, performance, and reliability
Machine Learning & AI Integration
- Work closely with the AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
- Prepare, validate, and deliver clean, structured data to support AI/ML systems and intelligent workflows
- Consume and integrate outputs from ML models into data pipelines and backend systems
- Maintain awareness of ML concepts to effectively collaborate with AI/analytics teams
Core Technical Skills
- Expertise in system scalability and performance optimization
- Solid understanding of distributed systems and backend architecture
- Strong knowledge of data modelling (OLTP vs OLAP)
- Strong knowledge of data lake architecture (primary) and data warehousing concepts
- Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)
Core Platforms & Technologies (Required)
- Relational databases strong hands on experience required (e.g. PostgreSQL, MS SQL Server, MySQL)
- Non relational / NoSQL databases working knowledge required (e.g. MongoDB, SQLite, TimescaleDB, Redis)
- Graph databases understanding of graph data models (e.g. Apache AGE, Neo4j concepts)
- Comfortable working across multi database environments relational, time series, graph, and cache layers in a single architecture
Good to Have
- Hands on experience with modern data tools such as Kafka, Airbyte, S3/ADLS, Snowflake, or similar platforms
- Experience with cloud platforms (AWS / GCP / Azure)
- Exposure to real time data processing systems
- Knowledge of ML data pipelines or analytics workflows
- Experience using Python for data ingestion pipelines, transformation scripts, and automation workflows
Requirements (Qualifications/Experience/Competencies)
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. A Master's degree in a relevant field is an advantage
- 5 7 years of experience
Ready to Join Us?
- If you are passionate about building modern AI powered products and enjoy working on innovative digital solutions, we would love to hear from you. Immediate joiners are preferred.
- Please note: This position is open to candidates currently residing in the UAE only.
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