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Senior AI/ML Technical Leader

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Chennai, Tamil Nadu, India beBeeTechnical Full time ₹ 2,40,00,000 - ₹ 3,00,00,000

Technical Leadership Role

We are seeking a seasoned technical leader to define the strategic direction of our AI/ML infrastructure and shape the future of MLOps across our organization.

This role offers the opportunity to drive transformational AI/ML initiatives at the highest technical level within our organization. The ideal candidate will be responsible for setting technical vision, architecting next-generation ML platforms, and establishing industry-leading practices that scale across multiple business units.

  • Leadership & Architecture :
    • - Define and execute the long-term technical strategy for enterprise AI/ML infrastructure, establishing architectural principles and technology roadmaps that align with business objectives.
    • - Lead the design and implementation of next-generation ML platforms capable of supporting thousands of models across diverse use cases and business units.
    • - Drive cross-organizational initiatives to standardize MLOps practices, establishing centers of excellence and governance frameworks.
    • - Architect solutions for emerging AI technologies including large language models, multi-modal AI systems, and federated learning.

Technical Implementation :

  • Design and implement cutting-edge MLOps solutions including automated hyperparameter optimization, neural architecture search, and advanced model optimization techniques.
  • Lead the development of sophisticated ML infrastructure supporting real-time inference at scale, including edge computing deployments and distributed serving architectures.
  • Establish advanced observability and reliability frameworks including custom ML metrics, automated anomaly detection, and intelligent auto-remediation systems.
  • Drive innovation in ML security, implementing zero-trust architectures, model privacy preservation, and advanced threat detection for AI.

& Influence :

  • Provide technical leadership and mentorship to senior engineers and cross-functional teams, fostering a culture of technical excellence and continuous learning.
  • Collaborate with executive leadership, product management, and business stakeholders to translate strategic business goals into technical initiatives.
  • Represent the organization at industry conferences, contribute to open-source projects, and establish external partnerships with technology vendors and research institutions.
  • Lead technical decision-making processes, conduct architecture reviews, and establish engineering standards across multiple business units.

What Skills & Experience You Should Bring :

To be successful in this role, you should possess :

  • Advanced degree (Master's/PhD) in Computer Science, Engineering, Machine Learning, or related technical field, or equivalent professional experience with exceptional technical depth.
  • 8+ years of experience in ML Operations, Site Reliability Engineering, or related fields with 3+ years in senior technical leadership roles.
  • Proven track record of architecting and implementing large-scale ML infrastructure serving millions of predictions with high availability and performance requirements.
  • Expert-level programming skills in multiple languages (Python, Go, Rust, Java, C++) with deep understanding of distributed systems and performance optimization.
  • Extensive experience leading enterprise cloud transformations across multiple platforms (AWS, Azure, GCP) including advanced AI/ML services and cost optimization strategies.
  • Deep expertise in ML model lifecycle management at scale, including sophisticated A/B testing frameworks, multi-armed bandit algorithms, and automated experimentation platforms.
  • Proven experience with advanced infrastructure technologies including service mesh architectures, event-driven systems, and serverless ML.
  • Experience with cutting-edge ML technologies including transformer architectures, foundation model deployment, and prompt engineering infrastructure.
  • Expertise in advanced data engineering including real-time streaming architectures, data mesh implementations, and privacy-preserving analytics.
  • Knowledge of ML compliance and governance frameworks including model interpretability, bias detection, and regulatory compliance (GDPR, CCPA, industry-specific regulations).
  • Experience with quantum computing applications, neuromorphic computing, or other emerging AI hardware architectures.
  • Track record of successful technology vendor relationships, including build vs. buy decisions and enterprise software negotiations.
  • Published research, patents, or significant open-source contributions in ML infrastructure or related fields.
  • Experience leading geographically distributed teams and managing complex multi-year technical initiatives.

Growth & Impact Opportunities :

As a Principal Engineer, you will have the opportunity to :

  • Shape the technical direction of AI/ML capabilities across the entire organization.
  • Lead strategic technology initiatives with multimillion-dollar impact.
  • Build and mentor high-performing engineering teams.
  • Establish industry partnerships and represent the company at major conferences.
  • Contribute to open-source projects and publish cutting-edge research.