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    Job · 11600214

    Puma logo

    Teamhead – AI & Machine Learning

    Puma · Bengaluru · onsite · Posted 67d ago

    Undisclosed12–7 yrsfulltimeSourced fromLinkedIn

    About a minute. You'll make an account on the way through.

    About this role

    SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy and all genders are welcome. Simply click APPLY ONLINE and follow the steps to upload your application.

    YOUR MISSION:

    • Define and own the enterprise AI, ML strategy, building a multi-year roadmap aligned to digital and business transformation priorities
    • Lead and scale a high-performing team of AI Engineers, MLOps Engineers, Data Engineers, Application Engineers and Data Scientists
    • Architect and oversee development of enterprise-grade AI solutions including LLM-based systems, Retrieval-Augmented Generation (RAG), predictive ML models, decision intelligence platforms, and data-heavy applications
    • Drive the full AI product lifecycle - opportunity discovery, business case definition, architecture design, development, deployment, monitoring, optimization and value realization
    • Establish enterprise AI reference architectures, reusable frameworks, modular ML templates and standardized deployment patterns
    • Ensure strong MLOps maturity including CI/CD for ML, model registry, automated retraining pipelines, monitoring for data/model drift, observability and governance
    • Lead cloud-native AI platform strategy leveraging Azure / Databricks / AWS / GCP ecosystems with focus on scalability, resiliency and cost efficiency
    • Define GenAI standards including prompt engineering frameworks, evaluation pipelines, guardrails, responsible AI controls and security compliance
    • Partner with business leaders to translate complex operational challenges into scalable AI and data products with measurable ROI
    • Define and track product KPIs including adoption, performance, latency, uptime, cost per inference, business value creation and productivity uplift
    • Ensure enterprise-grade security, compliance, and responsible AI practices across all deployed solutions
    • Drive continuous innovation by evaluating emerging AI technologies and integrating them into the enterprise ecosystem where strategically relevant
    • Act as the single point of accountability for AI & Data product performance, delivery excellence and long-term platform scalability

    YOUR TALENT:

    • University degree (B.Tech / M.Tech / M.S.) in Computer Science, Engineering or related discipline; MBA or equivalent business exposure is a plus
    • 12+ years of experience across AI/ML, Data Platforms, or Enterprise Product Engineering, with 5+ years leading cross-functional technical teams
    • Proven track record of building and scaling enterprise AI/ML products in production environments
    • Deep understanding of:
    • Machine Learning lifecycle and model governance
    • LLMs, transformer architectures, RAG pipelines and prompt engineering strategies
    • MLOps frameworks including model monitoring, drift detection, retraining and CI/CD for ML
    • Modern data architectures (Databricks, Spark, ETL/ELT, Delta patterns, data orchestration)
    • API-driven architectures and distributed systems design
    • Strong exposure to cloud ecosystems (Azure, Databricks, AWS or GCP) and cost optimization strategies for large-scale AI workloads
    • Experience designing scalable, secure and highly available enterprise data platforms
    • Strong strategic thinking with ability to align AI investments to business value, operational efficiency and competitive advantage
    • Demonstrated experience influencing senior stakeholders and translating technical trade-offs into business decisions
    • Strong leadership and talent development capability, with experience building engineering culture and technical maturity
    • Excellent communication skills with ability to operate across business and technical audiences
    • Hands-on mindset with ability to dive deep into architecture discussions when required
    • Ability to operate in a fast-paced, high-growth and transformation-driven environment
    • Fluent in Business English PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at PUMA and we do not tolerate any form of harassment or discrimination. At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal opportunity - no matter your background, identity, or experience. To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play. PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000 employees worldwide.

    Sourced from linkedin

    Skills

    decision intelligence platformsobservabilityRetrieval Augmented GenerationDistributed SystemsMLOpsgoogle cloud platformamazon web servicesMonitoringGovernanceEthical AiAPI-driven architecturesLLM-based systemsmodel registryprompt engineering frameworksevaluation pipelinesDatabricksPredictive ML modelsMicrosoft AzureCi/CdArtificial IntelligenceMachine Learningautomated retraining pipelinesDelta patternsPrompt EngineeringApache SparkData OrchestrationeltLarge Language Models (LLMs)APIETLGenerative AiDecision Intelligencepredictive MLDeltaMonitoring for data/model driftDistributed Systems DesignCI/CD for ML

    About PUMA

    Puma logo

    Puma

    Fashion & Textile

    1.8k+

    employees

    1948

    78 years old

    Herzogenaurach, Herzogenaurach

    Germany

    About

    PUMA operates in the athletic footwear and apparel sector, driving innovation to connect with consumers and support athletic endeavors globally.

    Industries

    Fashion & TextileConsumer goods

    Employee ratings

    799 reviews

    4.1/ 5

    Culture

    4.0

    Career growth

    3.5

    Work-life

    3.9

    Employees rate it well for

    Work Culture74Salary59Senior Management58Learning58Work Environment41

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    Teamhead – AI & Machine Learning · waiting for your command