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AI Associate Manager

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Pepsico

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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
  • 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

Requirements:

  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
March 05, 2026

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