Senior Engineering Manager- AI/ML - Pune - confidential

    confidential
    confidential Pune

    8 hours ago

    Full time
    Description

    Key Responsibilities

    • Lead a team of engineers working on AI-driven solutions in the networking and network security domain
    • Act as a hands-on technical leader, guiding design, architecture, and implementation
    • Work closely with customers, solution architects, and delivery teams to understand requirements and propose solutions
    • Collaborate with client product managers, architects, and engineering stakeholders to align on technical direction, scope, and roadmap
    • Drive execution of AI-based automation, analytics, and optimization use cases in networking projects
    • Ensure timely delivery of high-quality software aligned with client expectations
    • Stay abreast of industry trends in AI and networking to identify innovation opportunities
    • Foster a collaborative and performance-driven culture within the team
    • Lead internal product accelerators and contribute to reusable solution assets and frameworks
    • Drive engineering best practices including Agile/Scrum methodologies, CI/CD, code quality, design reviews, and architecture decision records
    • Oversee hiring and onboarding of engineers; collaborate with recruitment to build high-caliber teams
    • Identify and manage risks proactively, including technical, resourcing, and delivery-related risks
    • Coach, mentor, and grow engineering leads and senior developers; foster a culture of learning, collaboration, and ownership

    Basic Qualifications

    • 8+ years of experience in engineering roles, with at least 2 years in a team leadership or engineering management capacity (or 12+ years with 4+ years in leadership roles)
    • Proven experience in projects at the intersection of AI/ML and networking technologies
    • Deep understanding of network communication protocols (e.g., TCP/IP, SNMP, BGP, OSPF)
    • Practical knowledge of AI/ML tools and frameworks (e.g., Python, TensorFlow, PyTorch, Scikit-learn)
    • Strong problem-solving and analytical skills with a hands-on mindset
    • Proven experience managing multiple product engineering teams in a client-facing services environment
    • Excellent communication and stakeholder engagement skills
    • Knowledge of cloud-native platforms (AWS, Azure, GCP), containerization, and microservices

    Preferred Qualifications

    • Experience working with OEMs, MSPs, or service providers in the networking domain
    • Understanding of SDN, NFV, or cloud networking architectures (AWS, GCP, Azure)
    • Exposure to AI/ML Ops tools (e.g., MLflow, Kubeflow, SageMaker)
    • Ability to manage cross-functional teams and lead delivery across multiple projects
    • Excellent communication and stakeholder engagement skills (reiterated for emphasis due to client-facing nature)

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