AI Architect (GenAI, Python)
Overview
Design, develop, and deploy scalable AI solutions with expertise in machine learning, deep learning, and Generative AI. Architect end-to-end AI systems using LLMs, prompt engineering, and fine-tuning, while ensuring robust MLOps practices.
What You'll Do7
- 1Design and implement end-to-end AI/ML solutions from data ingestion to deployment.
- 2Build and optimize machine learning and deep learning models for real-world applications.
- 3Architect scalable and secure AI systems using cloud platforms.
- 4Work on Generative AI use cases including LLMs, prompt engineering, and fine-tuning.
- 5Develop and manage data pipelines and model lifecycle (MLOps).
- 6Ensure model performance, scalability, reliability, and monitoring in production.
- 7Mentor junior engineers and guide best practices in AI development.
Requirements6
- 16–10 years of total experience, with 5+ years in AI/ML and 3+ years in GenAI.
- 2Strong in ML, Deep Learning, NLP, LLM fine-tuning, and prompt engineering.
- 3Architecture-level thinking — able to design and own end-to-end AI systems.
- 4Hands-on with Python, TensorFlow/PyTorch, and MLOps tools.
- 5Experience managing or mentoring AI engineers.
- 6Prior exposure to US/UK client projects preferred.
Who Should Apply
Ideal candidate has 6–10 years of experience, with 5+ years in AI/ML and 3+ years in GenAI. Strong in ML, Deep Learning, NLP, LLM fine-tuning, and prompt engineering. Able to design and own end-to-end AI systems, hands-on with Python, TensorFlow/PyTorch, and MLOps tools. Experience mentoring AI engineers and exposure to US/UK client projects preferred.
Salary Insight
Open to discussion
Required Skills
Application Tip
Highlight your experience with end-to-end AI system design and specific GenAI projects including LLM fine-tuning and prompt engineering.
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