Data Engineer - Artificial Intelligence / Machine Learning

Role : AI & Data Engineer

Location : Gurgaon | Bengaluru | Mohali | IT Park Panchkula| Navi Mumbai | Pune

Experience 6+ years

NOTE : Immediate joiners

Role :

We're looking for a skilled AI and Data Engineer to join our team. You'll be at the forefront of designing, building, and maintaining the infrastructure that powers our data-driven products and machine learning models. This role requires a strong blend of data engineering expertise, a deep understanding of MLOps principles, and the ability to work with large-scale datasets. You will be responsible for creating robust data pipelines, managing our data platforms, and collaborating with data scientists and software engineers to bring AI solutions to life.

Key Responsibilities :

• Design, build, and maintain scalable data pipelines using tools like Apache Spark, Airflow, and AWS Glue.
• Manage and optimize cloud-based data platforms, including data lakes (S3) and data warehouses (Redshift, BigQuery).
• Solve complex data integration challenges using optimal ETL patterns, sourcing from structured and unstructured data.
• Develop and implement MLOps frameworks to automate deployment, monitoring, and lifecycle management of ML models.
• Transition experimental models into production-ready code and integrate them into applications with software engineering teams.
• Apply best practices in CI / CD, using tools like Jenkins, GitLab CI, and MLflow or Kubeflow.
• Build interactive dashboards and data products to support analytics and decision-making.
• Collaborate with product, QA, architecture, and engineering teams to deliver cleanly integrated data services.
• Support teams with robust, well-documented data models and infrastructure.
• Continuously monitor and improve the performance and cost-efficiency of data and AI infrastructure.
• Drive innovation by evaluating open-source tools and emerging technologies, and recommending solutions.
• Influence product and cross-functional teams to identify data opportunities that drive measurable impact.

Essential Requirements :

Preferred Qualifications :

(ref : hirist.tech)