VA
Job Description
- Requires a Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a closely related field.
- 10+ years of experience in AI/ML, including at least 4 years in a leadership or architecture capacity (e.g., AI/ML Architect, Principal Data Scientist, Lead ML Engineer).
- Demonstrated ability to design, build, and deploy production-grade AI/ML solutions within AWS, Azure, or hybrid cloud environments.
- Strong technical expertise in: Python, SQL, REST APIs, Git, Docker, Kubernetes, Machine Learning (Supervised/Unsupervised, Deep Learning, NLP, Computer Vision).
- In-depth knowledge of LLMs & GenAI, including fine-tuning, prompt engineering, RAG, and evaluation frameworks.
- Proficiency with MLOps tools such as MLflow, Kubeflow, DVC, SageMaker, Azure ML, and CI/CD pipelines.
- Experience with cloud platforms including AWS and Azure (particularly with Lambda, S3, EC2, SageMaker, and CodePipeline).
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