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Manager of Artificial Intelligence

Manager of Artificial Intelligence

PepsiCoghaziabad, uttar pradesh, in
30+ days ago
Job description

Overview

We are seeking a highly skilled and proactive AI Solutions SRE Lead to oversee the maintenance, optimization, and ongoing performance of deployed AI / ML systems and solutions. In this role, you'll act as the bridge between innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments. You will lead efforts to monitor deployments, troubleshoot issues, and define best practices for sustaining AI systems throughout their lifecycle.

Responsibilities

Monitoring & Sustenance :

  • Lead the post-deployment lifecycle of AI solutions, ensuring continued functionality, reliability, and scalability.
  • Establish monitoring frameworks to oversee system performance, usage, and metrics for AI / ML models and APIs.
  • Detect anomalies in AI systems, troubleshoot operational issues, and initiate timely corrective actions.

Performance Optimization :

  • Continuously assess and optimize the performance of AI models to maintain efficiency and accuracy in production environments.
  • Collaborate with data scientists and engineers to refine algorithms, retrain models, and update solutions as needed.
  • Implement automation where possible to streamline maintenance processes.

    • Stakeholder Collaboration :

  • Work with cross-functional teams (engineering, product, operations, etc.) to ensure alignment of AI sustainment activities with business goals.
  • Communicate effectively with stakeholders to provide updates on system health, risks, and improvements.

    • Governance & Best Practices :

  • Define and implement best practices for sustaining AI solutions, including documentation, testing protocols, and version control.
  • Ensure compliance with ethical AI standards, regulatory guidelines, and established governance frameworks.
  • Manage and mitigate risks associated with model drift, data shifts, and system vulnerabilities.

    • Incident Management :

  • Lead responses to critical incidents involving AI systems by performing root cause analysis and deploying solutions for quick resolution.
  • Advocate for proactive risk prevention and early detection strategies.
  • Mentor and develop junior team members, fostering their skills in AI observability and domain-specific knowledge in ML, Computer Vision, and Generative AI.

    • Qualifications

    Required :

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred.
  • 9+ years of experience in machine learning, data science, or software engineering roles, with significant exposure to Computer Vision and Generative AI projects.
  • 4+ years of experience specifically focused on AI / ML development and sustain the applications / solutions.
  • Strong programming skills in languages such as Python, Java, or Go.
  • Extensive experience with AI / ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, GCP).
  • Proficiency in data visualization tools and techniques (e.g., Grafana, Tableau, D3.js).
  • Deep understanding of AI / ML concepts, including model training, evaluation, and deployment, with specific knowledge of Computer Vision and Generative AI techniques.
  • Experience with monitoring and observability tools such as Prometheus, ELK stack, or similar systems.
  • Excellent problem-solving skills and ability to troubleshoot complex AI systems across various domains.
  • Proven track record of mentoring and developing junior team members in AI-related roles.

    • Preferred :

  • Experience with MLOps practices and tools, particularly for large-scale AI systems.
  • Familiarity with AI ethics and responsible AI principles, especially as they relate to Generative AI.
  • Knowledge of relevant AI regulations and compliance requirements, including those specific to Computer Vision applications.
  • Experience with distributed systems and large-scale data processing for AI applications.
  • Contributions to open-source projects or research publications in AI solution at production scale. Previous experience with large-scale AI / ML solutions in production environments.
  • Knowledge of DevOps principles and CI / CD pipelines specific to AI / ML systems.

    • Key Competencies

  • Strong analytical and critical thinking skills
  • Excellent communication and collaboration abilities
  • Proactive and self-motivated work ethic
  • Ability to explain complex technical concepts to both technical and non-technical audiences
  • Adaptability and willingness to learn in a rapidly evolving field
  • Strong mentorship and leadership skills
  • Deep curiosity and passion for AI, particularly in ML, Computer Vision, and Generative AI domains
  • We are looking for a passionate and innovative individual who can help us build robust, transparent, and reliable AI systems while nurturing the growth of our team. If you have a strong background in AI / ML, with specific expertise in Computer Vision and Generative AI, and a keen interest in observability and system reliability, we encourage you to apply.
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    Manager Artificial Intelligence • ghaziabad, uttar pradesh, in