AI/ML Architect
2 days ago
We are looking for a seasoned AI Solutions Architect with 10+ years of experience who can lead the design, development, and deployment of modern AI systems — from GenAI to distributed ML pipelines.
This role requires a strong mix of architecture, hands-on engineering, leadership, and innovation.
What You Will Work On
You will lead and architect:
Full-stack AI/ML systems using React/Angular, , APIs, RAG, and agentic frameworks (LangChain, AutoGen)
Distributed, event-driven, microservice-based AI pipelines on Azure (primary) & AWS
Advanced ML/DL models — GPT, BERT, CNNs, RNNs, GANs, multimodal AI
RAG systems, prompt engineering, few-shot learning, LLM optimization
Data workflows using Spark, Pandas, MLFlow; feature engineering & augmentation
Model observability, drift detection, monitoring (Prometheus, Grafana)
High-performance inference with quantization/pruning
AI security, compliance (GDPR, HIPAA, ISO 27001), RBAC, encryption
Architecture leadership, PoCs, feasibility assessments & cost evaluations
Clear communication of complex AI concepts across teams
What You Bring
Bachelor's/Master's in CS/DS or related field
10+ years in as ML a architect & enterprise-grade solution delivery
5+ years designing & deploying advanced AI/ML systems
Expertise in GenAI, ML, transformer models, deep learning, multimodal AI
Strong Python + TensorFlow/PyTorch/HuggingFace/MLFlow skills
Experience with microservices, Docker, Kubernetes, Azure/AWS
Understanding of CI/CD, model observability & performance tuning
Expertise in AI security, responsible AI, federated learning
Proven leadership, mentoring, and cross-functional collaboration
Preferred Skills
MLOps with Azure DevOps
Architect certifications (AZ-305, AWS SA)
Strong problem-solving, analytical thinking & communication skills
Track record of delivering GenAI/ML solutions from concept to production
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