Provide strategic and hands-on guidance to help architect, validate, and prototype an AI-driven solution. The focus is on creating scalable, secure, and production-ready AI capabilities that align with our product vision.
Key Responsibilities
Act as the
technical architect and advisor
for our AI initiatives
Design
AI/ML system architecture
, including model pipelines, data flow, APIs, and infrastructure
Evaluate use cases and guide
algorithm/model selection
(NLP, GenAI, computer vision, or predictive analytics as relevant)
Collaborate with our in-house engineering team to build scalable PoCs/MVPs
Define best practices for
model deployment, retraining, and performance optimization
Advise on
MLOps
,
data strategy
, and
cloud integration
(AWS/GCP preferred)
Provide
weekly check-ins
, code reviews, and documentation support
Requirements
8+ years in AI/ML engineering, including at least 2-3 years in
architectural roles
Proven experience working in a
product company environment
or consulting for one
Deep knowledge of
machine learning frameworks
(TensorFlow, PyTorch, Hugging Face, LangChain)
Experience with
Generative AI
,
LLMs
, or
NLP models
preferred
Exposure to
cloud-native AI deployment
(Docker, Kubernetes, SageMaker, Vertex AI, etc.)
Strong communication skills and ability to work in cross-functional teams
Past experience working in
contract or freelance consulting engagements
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