Aivar is an AI -first technology partner where cutting -edge technology meets industry expertise to supercharge your projects. Our AI -augmented teams accelerate development, reduce time -to -market, and deliver exceptional code quality. We bring together the best minds in tech to craft scalable, repeatable solutions that drive real momentum for your business.
What You'll Build
As Senior ML Architect, you'll architect the intelligence layer that powers Aivar's accelerators and client solutions. You'll design multi -agent systems for regulated industries, build production -grade ML infrastructure on Kubernetes, and pioneer agentic AI frameworks that autonomously execute complex business workflows. This isn't about optimizing accuracy by 2%—it's about building systems that eliminate 80% of manual work and unlock entirely new operational paradigms.
The Impact You'll Drive
Architect Production AI Systems
- Design end -to -end ML architectures for Velogent AI's framework, enabling governed multi -agent systems in financial services, healthcare, and life sciences
- Build scalable inference infrastructure leveraging for sub -second latency throughput
- Create MLOps pipelines integrating Kubeflow, MLflow, Ray, and Karpenter for distributed training and intelligent autoscaling on Amazon EKS
Accelerator Innovation & Client Delivery
- Lead technical design of AI accelerator features—from distributed compute orchestration to multi -tenant isolation and disaster recovery patterns
- Architect Convogent AI voice systems with real -time STT/TTS, contextual memory, and post -call analytics serving 250+ concurrent sessions
- Translate ambiguous business challenges into concrete ML solutions—from autonomous invoice processing to conversational intelligence
Technical Leadership & Evangelism
- Partner with customers and cloud teams on enterprise AI engagements, conducting architecture reviews and POCs for Fortune 500 clients
- Define best practices for LLM serving, prompt engineering, guardrails, and model evaluation across accelerator products
- Mentor ML engineers on agentic design patterns, production ML, and cloud -native AI infrastructure
- Contribute to internal R&D;—experimenting with frontier models, emerging frameworks (MCPs, agent orchestration), and optimization techniques
Requirements
What You Bring
Core Expertise
- 8+ years building production ML systems, with 3+ years architecting at scale (distributed training, high -throughput inference, or MLOps platforms)
- Deep hands -on experience with ML workloads— GPU scheduling, autoscaling (Karpenter), distributed frameworks (Ray, Kubeflow)
- Robust foundation in LLM architectures and Generative AI—prompt engineering, RAG pipelines, model serving (vLLM, Triton, SageMaker), fine -tuning, and evaluation
- Proficiency in MLOps tooling—experiment tracking (MLflow/Weights & Biases), feature stores, model registries, CI/CD for ML, monitoring frameworks
Technical Depth
- Solid software engineering skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, HuggingFace)
- Experience with cloud -native architectures on AWS—SageMaker, Bedrock, EKS, Lambda, managed databases, networking, IAM
- Understanding of agentic AI patterns—multi -agent orchestration, tool use (function calling), reasoning frameworks, validation layers
- Knowledge of voice AI technologies (STT/TTS, WebRTC, real -time streaming) or governance frameworks for regulated AI is a strong plus
What Makes You Special
- Builder mindset—you prototype fast, iterate based on feedback, and obsess over production reliability
- Business acumen—you translate technical decisions into ROI narratives that resonate with CTOs and business leaders
Benefits
- Learn from Experts: Work directly with former AWS leaders and AI pioneers.
- Direct Ownership: Lead high -impact "greenfield" projects from concept to global launch.
- Modern Tech: Master the latest Generative AI frameworks and cloud -native architectures.
- Real -World Impact: Build mission -critical systems used by major global enterprises.
- Rapid Growth: Scale your career quickly in a high -speep
📌 Senior ML Architect (Coimbatore)
🏢 Leading
📍 Coimbatore
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