remote
Generative AI Specialist - Innodata
AI Engineer
Lead the design and deployment of generative AI solutions, leveraging advanced machine learning, NLP, and deep learning techniques in Python on cloud platforms to deliver scalable, trustworthy AI systems for enterprise clients.
About the role
Key Responsibilities
- Architect and implement end‑to‑end generative AI pipelines, from data ingestion and preprocessing to model training, fine‑tuning, and deployment.
- Collaborate with cross‑functional teams to define use cases, evaluate model performance, and iterate on solutions that meet business objectives.
- Integrate state‑of‑the‑art NLP and deep learning frameworks (e.g., Transformers, GPT variants) into production environments on AWS.
- Ensure model robustness, explainability, and compliance with ethical AI guidelines through rigorous testing and documentation.
- Mentor junior engineers, share best practices, and contribute to the continuous improvement of AI tooling and infrastructure.
Requirements
- 5+ years of experience in machine learning and generative AI, with a strong portfolio of deployed models.
- Proficiency in Python, PyTorch/TensorFlow, and NLP libraries such as Hugging Face.
- Hands‑on experience with cloud services (AWS, GCP) and CI/CD for ML workflows.
- Deep understanding of data engineering principles, including data pipelines, feature engineering, and data quality.
- Excellent communication skills and a passion for building responsible, scalable AI solutions.
Skills
generative aimachine learningpythonnlpdeep learningaws