Ai Associate Manager

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