AI Engineer
First seen by Alion on Sep 26, 2026.
Key Responsibilities:
- Design, develop, and implement AI/ML solutions and Proof of Concept (POC) applications.
- Lead technical solutioning and translate business requirements into scalable AI solutions.
- Design end-to-end AI solutions covering data processing, model development, deployment, and monitoring.
- Develop clean, efficient, scalable, and well-documented Python code.
- Collaborate with Data Scientists, Data Engineers, and technical teams throughout the development lifecycle.
- Provide technical guidance and support to project teams.
- Evaluate and implement emerging AI technologies, platforms, and tools.
- Develop and deploy AI solutions using Google Cloud Platform (GCP).
- Utilize Vertex AI for model training, deployment, and management.
- Integrate Google Gemini for relevant AI use cases.
- Troubleshoot, debug, and optimize AI/ML applications.
- Ensure solutions are scalable, secure, reliable, and compliant with applicable standards.
- Prepare technical documentation, architecture diagrams, and implementation guidelines.
Required Skills:
- GenAI + Python
- 5+ years of AI/ML development experience
- Strong Python programming skills
- Generative AI / LLM experience
- Machine Learning concepts and algorithms
- TensorFlow / PyTorch / Scikit-learn
- Pandas / NumPy
- GCP / Vertex AI
- Google Gemini
- AI/ML model development and deployment
- POC development
- Strong problem-solving and communication skills
- Education: Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
Skills
Python, Generative AI, Google Cloud Platform, Vertex AI, Machine Learning, Tensorflow, PyTorch, Scikit-Learn, Artificial Intelligence