Posted:2 weeks ago| Platform:
Work from Office
Full Time
AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety, Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance Qualification s:This is a full-time remote role for a Principal Engineering Manager at AryaXAI The Principal Engineering Manager will be responsible for engineering management, team leadership, software development, project management, and integratio 7+ years of experience in building and deploying enterprise-grade machine learning infra, SaaS software or data analytics solutions or online platfo rmsAcademic degree in Computer Science, Engineering, or a related fi eldStrong background in Python programming, Distributed computing, Engineering, big data processing, and cloud computing (AWS, Azure, GCP, On-Premi se)Experience in optimizing, scaling, and reliability of large-scale systems for various data modalities and AI mode Strong fundamentals and discipline in CI/CD pipelines, containerization (Docker, Kubernetes), and multi-cloud environmen Proven track record in product management in designing and delivering complex, high-performance solutions for large-scale enterprise customers without faults and ability to auto-scale the systems through delivering the essential SLAs in production during inferenci Programming skills expert in Python and solid coding practi cesData Engineering expert in MongoDB and strong fundamentals in data lakes, data storage, ETL pipelines, and building real-time data pipelin Strong material skills, excellent communication, collaboration, and leadership skills with the ability to lead teams, mentor juniors, and work with other tea Strong system architecture background that supports scaling in regulated industri Experience in scaling AI/ML production systems using classic ML models, LLMs, and Deep Learning models on traditional hardware and high-performance computi Roles and responsibilit ies: As Principal Engineer, you'll be the main SPOC for all the engineering efforts behind the AryaXAI platform, serving customers in SaaS and on-premise modes and scaling multiple AI models in startups, SMEs, and highly regulated indust ries, You'll be responsible for designing, modifying, and scaling architecture, as well as designing and implementing scalable infra for AI/ML solutions and data engine ering You'll be the SPOC with the R&D team collecting the productized components and adding and scaling these components on the pla tform Architect and scale AI inferencing platform and related components for all data modalities like Tabular, text, image, video , etc You'll be responsible for designing the AI Ops and AI Inferencing Ops model building, data preprocessing, model inferencing, explainability, monitoring, alignment, risk management compo nents You'll work on running multiple optimizations on inferencing speed and latencies to serve multiple AI models LLMs, DL models, classic ML models , etc You'll be the SPOC with the pre-sales and solutions team to provide necessary documentation and specs and collect the requirements for enterprise deploy ments You'll manage product development activities like scrum, reviewing the scrums, and optimizing productivity across teams engineering, data science, and fron t end You'll mentor and guide juniors and middle man agers You'll continuously improve the standards of the product, as well as the architecture, culture, and exper ience, What you ll get:Highly competitive and meaningful compensation packageOne of the best health care plans that covers not only you but also your familyA gre at teamMicro-entrepreneurial tasks and responsibi lities Career development and leadership opport unities
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