About the Role

We are looking for a Graphic Design Intern who understands and appreciates PUMA’s bold, performance-driven and street-inspired design language. This role is ideal for someone who can translate brand identity into compelling visuals across multiple consumer touch points static and motion.

Key Responsibilities

• Design and adapt creatives for:

  • Social media (Instagram, X, YouTube, etc.)

  • CRM (emailers, push notifications, app banners)

  • Store collaterals (in-store branding, signage, POS)

  • OOH (billboards, transit media, hoardings)

  • Marketplace platforms (Amazon, Flipkart, Myntra, etc.)

  • E-commerce website assets (banners, landing pages)

• Create basic motion graphics and video edits for social and digital campaigns

• Assist in developing short-form video content (reels, stories, ads)

• Support campaign shoots with quick edits and turnarounds

• Assist in creating campaign toolkits and visual systems

• Maintain consistency with brand guidelines across all formats

• Work on quick turnarounds for real-time and reactive content

• Support senior designers and marketing teams on ongoing campaigns

What We’re Looking For

• Basic understanding of PUMA’s brand aesthetic (sport + street + culture)

• Strong sense of layout, typography, color, and motion

• Ability to think across static + video formats

• Attention to detail and consistency

• Ability to handle multiple projects and deadlines

Required Skills

• Proficiency in:

  • Adobe Photoshop

  • Adobe Illustrator

  • Adobe After Effects / Premiere Pro (for video editing)

  • Adobe InDesign (good to have)

• Understanding of:

  • Social-first video formats (Reels, Shorts, Stories)

  • E-commerce and marketplace design requirements

Bonus Skills (Nice to Have)

• Basic 3D design knowledge (Blender, Cinema 4D, or similar)

• Ability to create simple product renders or motion loops

• Familiarity with fashion / sportswear / sneaker culture

• Understanding of marketplace design nuances (grid clutter, pricing overlays, etc.)

Portfolio Requirements

• Strong portfolio showcasing:

  • Social media creatives

  • Motion/video edits (reels, ads, animations)

  • Any fashion / sports / lifestyle projects

• 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

• 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

As Senior Manager Data Governance, you will play a critical leadership role in strengthening the foundations of PUMA’s data landscape. You will champion enterprise-wide data governance, quality, and compliance to support data-driven decision-making across the business.

Key Responsibilities:

Data Governance Strategy & Policies

• Develop and implement data governance strategies aligned with PUMA’s business objectives.

• Assist in defining data governance policies, procedures, and standards to ensure data quality, integrity, consistency and timeliness.

Business–IT Partnership

• Serve as the main liaison between business and IT teams to resolve data governance–related challenges.

Data Quality Management

• Perform complex data profiling, cleansing, validation, and monitoring.

• Track and report on data accuracy, completeness, and consistency across systems.

• Define metrics and KPIs to evaluate improvements in data quality.

Compliance & Data Privacy

• Ensure adherence to global and regional regulations such as GDPR, CCPA, and internal data protection standards.

• Collaborate with Legal, Risk, and IT Security teams to implement and enforce data privacy policies.

Data Access, Metadata & Documentation

• Contribute to defining data access, classification, and retention policies.

• Maintain business glossaries, data dictionaries, and metadata standards.

Skills

Technical Skills:

• Expertise in data governance frameworks, policies, and operating models

• Strong knowledge of data quality management (profiling, cleansing, validation)

• Experience with Master Data Management (MDM) solutions and implementation

• Proficiency in metadata management, business glossaries, and data dictionaries

• Understanding of data classification, access controls, and retention policies

• Hands-on experience with Data Governance tools (Ataccama, Collibra, etc.)

• Ability to define and track data quality KPIs and metrics

• Strong knowledge of enterprise data platforms and architectural principles

• Ability to collaborate with data engineering teams to embed governance in pipelines

Leadership Skills:

• Ability to set and drive a data governance vision aligned with business strategy

• Skilled at translating technical concepts into business impact

• Proven capability to lead cross-functional programs and governance initiatives

• Ability to influence and advocate for data-driven decision-making

• Excellent communication and facilitation skills for training and awareness programs

• Strong problem-solving and conflict-resolution skills in a multi-stakeholder environment

• Ability to mentor and develop data governance champions across the organization

• Strategic mindset with the ability to balance governance and agility

• Assist multiple SIS with day-to-day operational requirements.

• Track SIS-level KPIs.

• Support SIS Staff in achieving sales targets through improved service and selling skills.

• Analyze SIS performance and share insights with the Area Sales Manager.

• Ensure VM standards are implemented consistently across all SIS.

• Coordinate with VM team for execution of seasonal updates, campaigns, and product launches.

• Audit SIS display quality and provide corrective action plans.

• Assist SIS in stock replenishment, stock counts, and shrinkage control.

• Identify fast/slow-moving products & support stock balancing across stores.

• Report stock gaps and discrepancies to the Area Manager.

• Conduct on-floor training for new and existing Retail Associates.

• Reinforce product knowledge, customer service expectations, and selling skills.

• Support performance coaching for SIS staff.

• 2 to 5 years in retail operations.

• Experience handling multi-store/SIS/LFR or supervisory retail roles is an advantage.

• Field-based rolerequires daily/weekly travel across assigned stores.

• Flexible hours, including weekends and retail peak seasons.

• Graduate (Preferred: Business, Retail, Marketing).

• 2 to 5 years in retail operations.

• Experience handling multi-store/SIS/LFR or supervisory retail roles is an advantage.

• Field-based role, requires daily/weekly travel across assigned stores.

• Flexible hours, including weekends and retail peak seasons.

• Graduate (Preferred: Business, Retail, Marketing).

Puma AI & Machine Learning team is looking for AI Engineer to join in Bangalore HQ. The ideal candidate will work on design, development, deployment, and maintenance of scalable enterprise level GenAI solutions that drive business impact. The role focuses on translating business problems into scalable GenAI applications such as chatbots, copilots, document intelligence, and decision-support systems.

The AI and Machine Learning team is a business-critical team that is at the center of innovation for the company and is a major driver of company's products and business.

Some of the attractive pluses of the job are:
The opportunity to work with a world-class team of talented data scientists, Application Engineers, Data Analysts and business heads with the strong background, and who are extremely passionate about solving real-world applied problems in the retail and fashion industry.

A real opportunity to expand your skill-sets and a chance to learn and use the latest advances and approaches in AI and machine learning on real-world data-sets.

Working in fast-paced work environment where you are expected to be self-motivated and are measured on your performance.

1. Design, build, and deploy GenAI solutions using LLMs (OpenAI, Anthropic, Gemini, Hugging Face) and multimodal models (text, images, documents) for enterprise data products/applications.

2. Develop end-to-end AI pipelines including data ingestion, prompt engineering, evaluation and human feedback loop to learn and improve quality of output results.

3. Maintain, optimize, and enhance existing applications for performance and usability.

4. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.

5. Implement prompt engineering strategies, prompt templates, and prompt evaluation.

6. Fine-tune LLMs using LoRA, PEFT, or instruction tuning, where required.

Skills & Experience Required:

• Strong proficiency in Python, SQL.
• Hands-on experience with LLMs and GenAI frameworks (LangChain, LlamaIndex etc.).
• Experience in prompt engineering and evaluation.
• Familiarity with Git for version control.
• Strong understanding of transformer architectures.
• Basic knowledge of cloud services (Databricks, Azure, or GCP).
• Experience with REST APIs and microservices.
• 4+ years of relevant experience in building GenAI solutions.
• Strong problem-solving and analytical abilities.
• Excellent teamwork and communication with technical and non-technical stakeholders.
• Ability to work independently and take ownership of tasks.
• Experience with LLM fine-tuning. Experience with knowledge graphs + GenAI.
• Exposure to enterprise search, document AI, or chatbot platform

Education Qualification:

• B.Tech / M.Tech in Computer Science / IT or related fields from one of the premier Institutes

This is a regional support role for EEMEA that provides application system support, business analysis, functional design, system implementation, user acceptance test, user training and system documentation.

• Daily support and problem solving in SAP and other business applications

• Support & resolve user issues on daily basis and in a timely manner

• Assist with reporting requirements / exports from SAP / other systems

• Facilitate system changes according to Business Requirements & Change

Requests

• Gather user's requirements & translate into functional enhancement

requests (no coding needed)

• GAP analysis of businesses process vs requirements vs system capabilities /

functionality

• Participate and support system implementation and enhancement

• Provide user training and system documentation

• Prepare testing and conduct user acceptance test with users

Functional Competencies Required:

• Degree in Business Administration, Computer

Science or related subjects

• At least 3 years experience in SAP (ECC preferred) &

Application Support or Consulting

• Industry experience in Retail/ Wholesale / Sports

• Solid understanding of business processes

• Strong GAP analysis and reporting reconciliation

• SAP Certification is an advantage

• Data migration implementation and lifecycle

experience

• SDLC support / management and experience

• Business requirements gathering / analysis and

collation

• Strong SAP experience in SD & MM & FI Modules.

WM (advantage)

• SAP configuration knowledge & experience

• SAP cross module integration knowledge &

experience

• SAP Integration with external applications

• SAP Reporting / data exports

• Data migration

• SAP WM module basic understanding of Storage

type, Storage Section, Storage bin, Transfer Order

• SDLC management

• Advanced Excel (Pivot, Formulas, vlookup, macros)

• Power BI (advantage)

• Retail POS software (advantage)

We are seeking a “Senior Manager Data Engineering” to lead a team of Data Engineers responsible for building and operating scalable, reliable, and cost-efficient data pipelines on our modern data platform. This role combines technical leadership and hands-on development, ensuring engineering excellence through standards, code reviews, and best practices, while partnering closely with architects, analysts, and product stakeholders to deliver high-value data solutions.

Key Responsibilities

• Leading Data Engineers: Provide technical direction, set engineering standards, and ensure delivery quality across multiple initiatives.

• Engineering Excellence: Establish and enforce coding standards, guidelines, and review checklists.

• Code Review: Perform and oversee code reviews to ensure engineering guidelines and best practices are followed

• Data Pipeline Development: Lead the design and development of scalable data pipelines using Databricks & Apache Spark (PySpark).

• Collaboration: Work closely with data architects, analysts, and product owners to translate requirements into technical solutions and deliverables.

• Communication: Communicate technical status, risks, and trade-offs clearly to stakeholders and ensure delivery transparency.

• Documentation: Ensure high-quality documentation for workflows, data products, and operating procedures.

• Technical Skills:

  • Strong hands-on knowledge in Databricks and Apache Spark (PySpark)

  • Solid experience with Microsoft Azure Synapse, SQL Server, and SSIS (ETL patterns, orchestration, and legacy-to-modern migrations)

  • Experience designing/operating ETL/ELT pipelines with robust monitoring and troubleshooting.

  • Strong understanding of performance tuning and cost efficiency in cloud data workloads.

  • Experience with Delta patterns and Databricks pipeline orchestration (e.g., workflows / managed pipeline patterns).

  • Knowledge of cloud platforms (AWS, Azure, GCP).

  • A minimum of 5 years’ experience in a similar role is required.

• Leadership Skills:

  • Proven experience leading Data Engineering teams (technical guidance, coaching)

  • Demonstrated ability to run code reviews, define guidelines, and raise engineering maturity.

  • Strong stakeholder management and communication— able to align technical solutions to business needs.

  • Ability to manage multiple priorities in a fast-paced environment.

• Own end-to-end delivery of modules: requirements analysis, solution design, development, testing, deployment, monitoring, and post-release improvement for enterprise apps and data-heavy features.
• Design and implement secure, scalable APIs (REST), integrate third-party/internal services, enforce versioning, rate-limits, and observability standards.
• Lead modernization of legacy codebases (Flask, CodeIgniter, Laravel) to modular, testable architectures; drive performance tuning for high read/write and large datasets.
• Model relational data; optimize SQL Server/MySQL schemas, indexes, partitioning, query plans, and stored procedures for throughput and latency SLAs.
• Establish and maintain CI/CD pipelines (Jenkins) with automated build, test, quality gates, secrets handling, environment promotion, and rollback strategies.
• Apply secure coding practices: input validation, authN/Z, OWASP controls, secrets management, dependency scanning, and periodic security reviews.
• Implement caching, pagination, async jobs/queues, and background workers for data pipelines and heavy computations; ensure resiliency and idempotency.
• Collaborate with product, design, data, and infra teams; translate business needs into technical specs, estimates, and incremental delivery plans.
• Create and maintain technical documentation: architecture diagrams, API specs, runbooks, and deployment playbooks; mentor junior engineers via code reviews and pairing.
• Drive SRE-aligned practices: logging, metrics, tracing, health checks, alerts, and capacity planning; participate in on-call with defined incident response.

• Onsite role in Bangalore, India; occasional off-hours support during critical releases or incidents as part of on-call rotation

• Frontend: Strong JavaScript with modern component-based UI using React or equivalent, plus responsive UI with Bootstrap or Tailwind; mastery of HTML5/CSS3 and accessibility basics.
• Backend: Advanced proficiency in Python and PHP, with hands-on in Flask and Laravel/CodeIgniter; working knowledge of Node.js for service integrations or tooling.
• Databases: Deep experience with SQL Server and MySQL including schema design, indexing, query optimization, migrations, and performance diagnostics.
• APIs and integration: Designing RESTful services, auth (JWT/OAuth2), pagination, filters, error contracts, and API documentation (OpenAPI/Swagger).
• DevOps/CI-CD: Jenkins pipelines for build/test/deploy, environment configuration, artifact/version management, and rollback; Git branching and PR workflows.
• Cloud: Practical exposure to AWS/Azure/GCP for compute, storage, networking, and managed databases; comfort with environment setup and security groups/IAM.
• Security: Solid grasp of web app security best practices and OWASP Top 10; secure headers, CSRF protection, rate limiting, and dependency hygiene.
• Testing/quality: Unit/integration tests, API tests, and automation; familiarity with static analysis and code quality gates within CI.

• Containerization/orchestration: Docker and Kubernetes for local dev and deployment workflows; image optimization and basic Helm/Kustomize.
• Eventing and async: Queues (e.g., Celery/RQ, SQS/RabbitMQ), scheduled jobs, and data processing pipelines for large-volume workloads.
• Microsoft ecosystem: Power Automate/Power Apps exposure for internal workflow automation; BI integrations for data portals.
• Frontend craftsmanship: State management (Redux/Zustand), form handling, charts for data-heavy UI, and performance profiling.
• Uses modern AI tools efficiently, keeps up with the latest trends, and loves to try new approaches to solve complex engineering problems pragmatically.

• Proven delivery of at least 2-3 medium-to-large full stack projects in production with measurable performance and reliability outcomes.
• Demonstrated leadership: mentoring juniors, leading sub-tracks, refining requirements, and coordinating across functions for releases.
• Hands-on in migrating/modernizing legacy apps, improving CI/CD maturity, and instituting logging/monitoring practices from scratch or to a higher bar.

• Strong analytical thinking, ownership mindset, and ability to break down ambiguous problems into clear deliverables and iterations.
• Clear communication with technical and non-technical stakeholders; documentation-first approach and collaborative, feedback-driven work style.

• Bachelors degree in Computer Science, Engineering, or related field; equivalent practical experience considered where demonstrably relevant.