Salary
≈ $28k – $70k per year (Estimated)
Location
In office (Delhi)
Seniority
Staff · 8+ years exp
Overview
Company
Impact
Profile match
Centricity is a SAAS-based investment management platform that empowers finance and investment professionals to establish their independent practices and manage investment portfolios efficiently.
We are looking for a hands-on AI Lead who can both build and lead. This is a role for someone who can define the technical vision for AI/ML while actively contributing to the design, development, and deployment of production-grade AI systems.
Key Responsibilities
Leadership and Strategy:
- Lead, mentor, and grow a high-performing AI/ML team.
- Define and execute the AI/ML roadmap aligned with business objectives and product strategy.
- Drive technical excellence and establish best practices across AI engineering and model development.
- Collaborate with product, engineering, and business stakeholders to identify and prioritize AI opportunities.
AI/ML Development and Delivery:
- Architect, build, and deploy scalable, production-grade AI/ML solutions on cloud platforms (AWS, Azure, or GCP).
- Design and implement forecasting, predictive analytics, and machine learning models.
- Translate business problems into deployable AI solutions that drive measurable outcomes.
- Ensure successful delivery of AI initiatives with ownership of timelines, quality, and execution.
MLOps and Platform Engineering:
- Drive best practices across the complete ML lifecycle, including MLOps, CI/CD for ML, Model deployment and monitoring, Governance and compliance,
- Build robust, cloud-native AI architectures capable of operating at scale.
Requirements:
- 8+ years of experience in AI/ML with proven team leadership experience.
- Strong hands-on expertise in machine learning and time-series forecasting.
- Experience architecting and deploying production-grade AI systems at scale.
- Deep understanding of cloud platforms (AWS, Azure, or GCP).
- Strong knowledge of MLOps, CI/CD pipelines, model monitoring, and ML infrastructure.
- Proficiency in Python and modern software engineering practices, including testing, code reviews, and automation.
- Demonstrated ability to deliver complex AI initiatives in fast-paced, agile environments.
- Strong communication, stakeholder management, and cross-functional collaboration skills.
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