AI/ML Architect
2 days ago
We Are Hiring: AI/ML Architect | 50 LPA | Pune
Location: Pune
Work Mode: 4 Days WFO + 1 Day WFH
Experience: 10+ Years
We are looking for a
highly experienced AI/ML Architect
to lead the design, development, and deployment of scalable AI/ML and GenAI solutions. If you are passionate about building next-gen intelligent systems and driving digital innovation, this role is for you.
Key Responsibilities
- Architect and implement
end-to-end AI/ML systems
, integrating frontend (React/Angular), backend ), APIs, RAG, and agentic frameworks. - Build
distributed, microservice-based AI pipelines
on Azure (primary) and AWS. - Work with
advanced ML/DL models
(GPT, BERT, CNNs, RNNs, GANs) for NLP, CV, and multimodal tasks. - Engineer solutions using
prompt tuning, few-shot learning, RAG
, and LLM optimization techniques. - Lead
data processing workflows
using Spark, Pandas, MLFlow. - Implement
model observability
, drift detection, monitoring and lifecycle management. - Apply
model optimization
(quantization, pruning) for real-time inference. - Ensure
AI security, governance, encryption
, and alignment with compliance standards (GDPR, HIPAA, ISO - Drive PoCs, feasibility studies, cost estimation, and risk analysis.
- Collaborate with cross-functional teams and ensure strong technical documentation.
Qualifications
- 10+ years of experience in AI/ML architecture & enterprise-grade solution delivery.
- 5+ years in architecting and deploying production AI/ML systems.
- Expertise in
GenAI, ML, transformer models
, LLMs, and multimodal AI. - Proficient in
Python
, TensorFlow, PyTorch, Hugging Face, MLFlow. - Experience in
Docker, Kubernetes
, microservices & cloud platforms. - Strong understanding of
AI security, adversarial robustness
, federated learning, and compliance. - Proven leadership in Agile teams with strong communication ability.
Preferred Skills
- Experience leading AI/ML/GenAI projects from concept to production.
- Strong knowledge of
MLOps, CI/CD pipelines
, Azure DevOps. - Solution Architect certifications (AZ-305, AWS Architect) are a plus.
- Deep understanding of
ethical and responsible AI
.
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