AI & Data Quality Engineer

Position : AI & Data Quality Engineer

Qualification : Bachelor's degree in any engineering discipline (Masters in CS/IT preferred).

Role Summary :

• Design and develop AI-enabled data quality solutions and tools.

• Build automated data quality, profiling, monitoring and anomaly detection capabilities.

• Develop AI/ML and Generative AI capabilities to improve data quality and engineering processes.

• Build scalable data warehouse and data engineering solutions to support AI use cases.

• Develop APIs, backend services and user interfaces for AI and data quality applications.

• Implement ML/Ops, CI/CD and monitoring practices for AI/ML solutions.

• Collaborate closely with business, data and technology stakeholders.

Mandatory Skills :

• Strong experience in Python, SQL and software development.

• Good understanding of AI, Machine Learning, Generative AI and LLM concepts.

• Hands-on experience with AI/ML frameworks and APIs.

• Experience building data quality, data validation, profiling or monitoring solutions.

• Strong understanding of data warehousing, data modelling and data engineering.

• Experience with cloud data platforms such as Snowflake, Databricks, Redshift or equivalent.

• Experience with AWS cloud services and cloud-based application development.

• Experience with ML/Ops, model deployment, monitoring and lifecycle management.

• Experience with CI/CD, Git and DevOps practices.

• Experience developing REST APIs and backend services.

• Experience with frontend technologies such as React, JavaScript or TypeScript.

• Experience with data pipelines and orchestration tools such as Airflow.

• Understanding of data governance, security and metadata management.

Good to Have Skills :

• Experience with AWS Bedrock, SageMaker or equivalent AI services.

• Experience with LLM, RAG and Agentic AI solutions.

• Experience with vector databases.

• Experience with PySpark / Spark.

• Experience with Docker and Kubernetes.

• Experience with Power BI or other BI tools.

• Retail domain experience.

Traits / Abilities :

• Strong problem-solving and analytical skills.