Data Engineer
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Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
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Job Summary
About the Role
We are seeking a skilled and motivated Data Engineer (AI/ML) to design build and maintain scalable data pipelines and infrastructure that power advanced analytics machine learning and AI solutions. This role requires strong expertise in data engineering cloud technologies and ML operations to enable data scientists and AI teams to deliver high-impact models into production.
Key Responsibilities
Design develop and maintain data pipelines for structured and unstructured data from multiple sources.
Build and optimize data lakes warehouses and real-time streaming systems to support AI/ML use cases.
Collaborate with data scientists to prepare clean and transform datasets for training and inference.
Implement CI/CD pipelines and MLOps practices for model deployment monitoring and retraining.
Ensure data quality governance and security across platforms.
Optimize storage compute and processing for scalability and performance.
Support advanced analytics dashboards and AI-driven applications through efficient data delivery.
Qualifications
Bachelors or Masters in Computer Science Data Engineering or related field.
36 years of experience in data engineering with exposure to AI/ML workflows.
Strong proficiency in Python SQL and data processing frameworks (e.g. Spark Beam Hadoop).
Hands-on experience with cloud platforms (AWS Azure or GCP) and their data/AI services.
Familiarity with machine learning lifecycle including feature engineering model deployment and monitoring.
Experience with workflow orchestration tools (e.g. Airflow Luigi Prefect).
Knowledge of CI/CD Docker and Kubernetes for productionizing ML systems.
Excellent problem-solving skills and ability to work in cross-functional teams.
Preferred Skills
Experience with MLOps tools (e.g. MLflow Kubeflow SageMaker Vertex AI).
Knowledge of real-time data streaming (Kafka Kinesis or Pub/Sub).
Exposure to data science frameworks (scikit-learn TensorFlow PyTorch) for model integration.
Relevant certifications (e.g. AWS Big Data Specialty GCP Data Engineer Azure Data Engineer Associate).
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Summary: Designs end-to-end AI systems, integrating machine learning, automation, and data engineering into scalable enterprise solutions. Key Responsibilities: - Define AI architecture aligned with business goals. - Lead solution design for AI/ML projects. - Evaluate AI tools, frame ... View more
