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Generative AI Associate - Innodata
AI Engineer
Generative AI Associate driving end‑to‑end AI model development, data pipeline construction, and deployment on cloud platforms, leveraging Python, ML frameworks, and AWS services to deliver scalable, trustworthy AI solutions.
About the role
Key Responsibilities
- Design, develop, and fine‑tune generative AI models using Python and popular ML libraries.
- Build and maintain robust data pipelines for large‑scale training datasets, ensuring data quality and compliance.
- Collaborate with cross‑functional teams to integrate AI models into production environments on AWS.
- Implement monitoring, logging, and performance optimization for deployed AI services.
- Document model architectures, training procedures, and evaluation results for internal and external stakeholders.
Requirements
- Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.
- Hands‑on experience with generative models (e.g., GPT, diffusion models) and related evaluation techniques.
- Proficiency in data engineering concepts, including ETL, data warehousing, and cloud data services.
- Experience deploying AI solutions on AWS (SageMaker, ECS, Lambda, or similar).
- Excellent problem‑solving abilities and a collaborative mindset.
Skills
pythonmachine learninggenerative aiaws