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Job Description & How to Apply Below
Role - AI/ML Senior Lead OR Architect
Location - Pune/Chennai/Bangalore/Hyderabad/Noida/Mumbai
Exp - 8+ Yrs
Joining Time required - Immediate to 30 Days only
Required Skills
We are looking for an experienced AI Architect to lead the design, development, and deployment of enterprise-grade AI solutions. The ideal candidate will bring strong technical depth, experience in scalable AI systems, and exposure to regulated industries such as healthcare or medical devices.
This is a strategic, hands-on role requiring both architecture leadership and execution oversight.
10+ years of experience in technology roles and 5+ years in AI/ML architecture or advanced data engineering
Strong hands-on experience with:
Python, Tensor Flow, Py Torch
Azure / AWS / GCP AI platforms
MLflow, Kubeflow, or similar MLOps tools
Experience designing scalable distributed systems
Exposure to regulated environments preferred
Preferred Qualifications
Experience in healthcare, life sciences, or medical devices
Knowledge of computer vision or AI for medical imaging
Experience with generative AI and LLM integrations
Edge AI or IoT integration experience
Key Responsibilities
AI Architecture & Strategy
Define and implement enterprise AI architecture roadmap
Design scalable ML/AI solutions across cloud and edge environments
Establish AI engineering standards and best practices
Lead MLOps strategy and model lifecycle governance
Solution Design & Implementation
Architect solutions involving:
Predictive analytics
Computer vision
NLP & Generative AI
Intelligent automation
Integrate AI services into enterprise platforms (ERP, CRM, Supply Chain, R&D systems)
Develop API-first AI microservices
Data & Platform Engineering
Define data ingestion, transformation, and storage strategies
Design data lakes/lake houses
Ensure high-quality, secure, and compliant data pipelines
Compliance & Responsible AI
Ensure AI solutions comply with regulatory standards (FDA, MDR, GDPR, HIPAA)
Implement explainable AI and bias monitoring frameworks
Conduct risk assessments and model validation
Leadership & Collaboration
Partner with Product, Engineering, Cybersecurity, and Regulatory teams
Guide AI engineers and data scientists
Present architecture designs to senior stakeholders
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