AI & Data Quality Engineer

Required Qualification Level : Bachelors degree (Undergrad) in any engineering discipline.

Preferred Qualification Level : Masters in Computer Science or IT.

Years of Experience : 5 - 8 years.

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 MLOps, 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 MLOps, 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.

- Strong ability to translate business needs into technical solutions.

- Curiosity and willingness to learn emerging AI technologies.

- Strong ownership mindset towards solution delivery and production support.

- Ability to work across AI, Data Engineering and Technology teams.

- Strong focus on data quality, reliability and governance.

- Ability to work effectively in ambiguous and evolving environments.

- Effective stakeholder communication.