12 years of hands-on technical experience in software engineering with at least 5 years in a leadership role managing cross-functional teams including GenAImachine learning and cloud infrastructure.
Hands-on Experience in designing and developing large-scale systems including GenAIAPI architecturesdata systemsML pipelines and cloud-native applications.
Programming Languages: Proficiency in PythonJavaScriptJava or other backend languages. Experience with API development (RESTful APIs GraphQL).
Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlowPyTorchscikit-learn and spaCy with hands-on experience in integrating them into GenAI applications.
Preferred: Hands on experience in GCP/Data Engineering/DevOps
Detailed JD (Pl share the Detailed Description 1 liner JD will not work)
The AI architect will play a pivotal role in architectingleading and actively contributing to the development of GenAI applications machine learning modelsdata engineering pipelines and cloud-native infrastructure. This hands-on leadership position requires extensive technical expertise and experience in managing a diverse cross-functional team of engineers spanning GenAI App Development Data ScienceMachine LearningFull StackDevOpsCloud Infrastructure and API development.
Be responsible for architecting complex systems making critical decisions and leading teams to deliver high-quality scalable solutions while remaining directly involved in codingtechnical design and problem-solving.
Skill Matrix:
Skill
Required Proficiency - On a scale of 1-5 (5 being the highest)
AI Architect
Design and implement scalable architectures for Generative AI-based applications addressing challenges such as latency fine-tuning model monitoring and cost optimization
5
Strong background in data science machine learning and software engineering
5
Job Location
Hands-on expertise in managing LLMs (e.g. OpenAI Hugging Face or custom models).
4
Solid understanding of cloud platforms (e.g. AWS Azure GCP) and MLOps best practices.
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