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AI Engineer Gemini Enterprise - Techolution
AI Engineer
Mid‑level AI Engineer focused on building and deploying generative AI solutions on GCP Vertex AI, leveraging Python, deep learning, and prompt engineering to create scalable, high‑impact models for enterprise clients.
About the role
Key Responsibilities
- Design, develop, and fine‑tune large language models using Gemini API and custom transformer architectures.
- Implement end‑to‑end MLOps pipelines on Google Cloud Platform, including Vertex AI Pipelines, model monitoring, and automated retraining.
- Engineer robust data preprocessing and feature engineering workflows to support high‑quality training datasets.
- Collaborate with cross‑functional teams to translate business requirements into AI solutions and deliver production‑ready deployments.
- Continuously evaluate emerging generative AI techniques and integrate them into product roadmaps.
Requirements
- Proven experience in Python programming and deep learning frameworks (TensorFlow, PyTorch).
- Strong foundation in generative AI, transformers, and prompt engineering.
- Hands‑on experience with Google Cloud Platform, especially Vertex AI and related services.
- Familiarity with MLOps practices, Docker, and Kubernetes for ML deployment.
- Excellent problem‑solving skills, ownership mindset, and a passion for delivering high‑impact AI solutions.
Skills
pythonmachine learningdeep learninggenerative ai