Engineering Head - AI/ML PlatformMarketScope • Delhi, IN
Engineering Head - AI / ML Platform
MarketScope • Delhi, IN
26 days ago
Job descriptionHands-on experience scaling AI / ML applications (e.g., Uvicorn, vLLM) in production. Advanced orchestration of large ML systems and agentic workflows end-to-end. Evaluation frameworks across classical ML and GenAI (task metrics, robustness, safety). Deep infrastructure understanding (GPU / CPU architecture, memory / throughput) and MLOps for model operationalization. Application architecture expertise : modular design, shared large-model services across multiple application components. Modern cloud proficiency : AWS, GCP (compute, networking, storage, security). Strong programming discipline and production deployment best practices. Team scaling & mentoring; effective cross-functional leadership. Business outcomedriven product strategy and : Define and lead AI platform technology strategy, driving innovation across agentic, lowcode and document science platforms, advanced LLM search, and next-gen financial products. Architect multi-agent, autonomous workflow solutions and ensure scalable, resilient ML infrastructure to support cross-domain product delivery. Create and own the technology roadmap aligned to strategic business goals and competitive market positioning. Lead and scale the AI engineering and Data Science team from 40+, building organizational excellence in MLEs, MLOps, and data engineering. Establish and champion best practices in AI governance, ethical frameworks, and business impact measurement. Drive cross-functional stakeholder engagement, collaborating closely with product, design, data, and industry partners to accelerate platform innovation and industry leadership. Represent the company as an authority on AI within industry forums, publications, and speaking events. Foster a culture of continuous learning, mentorship, and innovation, developing highpotential AI talent for next-generation leadership. Own and report platform success metrics, business impact KPIs, and deliver on ambitious product growth. Example technical challenges : Design scalable document AI and agentic search workflows for high-volume BFSI use cases; deploy autonomous ML systems supporting real-time lending and regulatory compliance; orchestrate and optimize multi-agent workflows for financial products lifecycle. Shape the future of industry agnostic agentic AI platforms and drive and reimagine market leading AT native product offering in BFSI and other chosen verticals. Define and implement scalable product roadmaps leveraging advanced ML, LLM, and agentic systems. Build and deploy cross-cutting products that bridge multiple financial domains and enable high-impact business outcomes.
Description :
Qualifications & Experience :
- Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related from a globally ranked institution.
- 12+ years driving large-scale enterprise apps, including 8+ years building enterprise AI platforms and delivering multi-product rollouts in a BFSI / fintech domain.
- Proven track record in architecting and scaling AI / ML platforms, leading hands-on teams, and operating systems in production at scale.
- In the past few years, delivered end-to-end GenAI solutions with deep expertise in transformer architectures, GPU optimization, LLM data preparation, fine-tuning, evaluation, and deployment.
Skills :
Product Strategy & Vision :
(ref : hirist.tech)
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