Data Engineer

About the Role
The Data Engineer will be responsible for building and maintaining robust data pipelines that support AI model training and deployment. This role requires close collaboration with AI Researchers and ML Engineers to ensure data quality, structured preprocessing, and dataset readiness for model development. The ideal candidate should have a strong foundation in Python, SQL, and ETL processes, with a focus on automation, scalability, and feature engineering for high-performance AI/ML models.

Responsibilities
• Build and maintain scalable data pipelines to support AI and ML model training workflows.
• Ensure data quality, consistency, and structured preprocessing for high-performance AI models.
• Collaborate with AI Researchers to prepare, validate, and fine-tune datasets for experimentation.
• Develop and manage ETL workflows for data ingestion, transformation, and integration.
• Perform feature engineering and implement data validation checks to ensure data integrity.
• Support model data structuring and maintenance of datasets and metadata repositories.

Required Skills and Technologies
• 1–1.5 years of experience as a Data Engineer or in a similar AI/ML-related role.
• Understanding of LLM, SLM, and BERT model fine-tuning and data preparation for training.
• Strong programming skills in Python (Pandas, NumPy, TensorFlow, Keras, PyTorch) and SQL.
• Hands-on experience with data pipeline tools (Airflow, Luigi, or similar frameworks).
• Knowledge of ETL design, data quality management, and version control (Git).
• Familiarity with AI/ML data requirements and collaboration with model development teams.
• Excellent analytical and problem-solving skills with a proactive mindset.

Experience Requirements
- 0-2 years of relevant experience in data engineering or a related field.

Work Location & Setup
- This position is onsite in Pune, Maharashtra, India. The work environment is collaborative and fast-paced, providing opportunities for professional growth and development.

Employment Type & Duration
- This is an hourly employment position with 2 openings available. The exact duration of the project is not specified.

Compensation & Benefits
- Compensation will be competitive and commensurate with experience. Specific salary details will be discussed during the interview process. Additional benefits may include opportunities for professional development and a supportive work environment.

Additional Information
- We encourage applicants who are eager to learn and grow in the field of data engineering. Strong communication skills and a collaborative mindset are essential for success in this role.