AI & Data Engineer

Description :

As AI Data Engineer, you will be responsible for designing, developing, and maintaining scalable data processing systems. Your role will involve handling large and complex datasets to extract valuable insights that will inform business decisions. You will work closely with data scientists, analysts, and other engineers to create robust data solutions that improve data quality and efficiency.

Role : AI and Data Engineer

Work Mode : Work From Office ( Locations Pune, Mohali, Gurgaon, Navi Mumbai, Bangalore)

Experience : 5+ year's

Shift Timing : Afternoon Shift (12 PM 9 PM)

Interview Mode : Virtual

NOTE : Immediate Joiners

Role Overview :

We are looking for a skilled AI and Data Engineer who can design, build, and maintain data and AI infrastructure supporting large-scale data systems and ML models. The ideal candidate will have strong data engineering and MLOps experience.

Key Responsibilities :

- Design, build, and maintain scalable data pipelines using Spark, Airflow, and AWS Glue.

- Manage and optimize cloud-based platforms (S3, Redshift, BigQuery).

- Solve complex data integration challenges (structured/unstructured data).

- Develop and implement MLOps frameworks for deployment and monitoring of ML models.

- Transition models into production-ready code with software engineering teams.

- Build dashboards and analytical data products for business use.

- Optimize performance and cost-efficiency of infrastructure.

- Collaborate across teams to deliver robust and scalable solutions.

Essential Skills :

- Bachelors degree in Computer Science, Engineering, or a related field.

- Python, Big Data (Spark, Airflow, Glue)

- Cloud : AWS/Azure/GCP

- MLOps : MLflow, Kubeflow, CI/CD (Jenkins, GitLab CI)

- Data Modeling, ETL, SQL/NoSQL

- Strong analytical and debugging skills

Preferred Skills :

- Docker, Kubernetes, Kafka/Kinesis

- Data observability and testing automation

- Excellent problem-solving and analytical skills.