30 Oct
|
ValueLabs
|
India
- Bachelor's or Master's degree in Computer Science,
- AI, Machine Learning, Data Science, or related field.
- 10+ years of experience in AI/ML, with at least 4 years in a leadership or architect role (e.g., AI/ML Architect, Principal Data Scientist, Lead ML Engineer).
- Proven experience building and deploying production-grade AI/ML systems in AWS, Azure, or hybrid cloud environments.
- Deep expertise in: Python, SQL, REST APIs, Git, Docker, Kubernetes Machine Learning (Supervised/Unsupervised, Deep Learning, NLP, Computer Vision)
- LLMs & GenAI: Fine-tuning, prompt engineering, RAG, evaluation frameworksMLOps tools: MLflow, Kubeflow, DVC, Sage Maker, Azure ML, CI/CD pipelines Cloud platforms: AWS, Azure (especially with Lambda, S3, EC2, Sage Maker, Code Pipeline)
📌 Ai/ML Architect (India)
🏢 ValueLabs
📍 India