2 Nvidia Stack Jobs

We are Brainlabs, the High-Performance media agency, on a mission to become the world&aposs biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And whats our formula Superteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. Its a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Classification: Full time Team: Data Science Practice Reporting to: Head of Data Services Location: Bengaluru (Hybrid model of working) Experience Range - 13-15 Years Of Experience. As a Director, Data Science youll execute data science initiatives, influence senior leadership and shape the data science roadmap for the organization. The ideal candidate will have extensive experience in statistical modeling, machine learning, Generative AI, MLOps, and cloud-based solutions, along with a track record of leading large-scale projects, mentoring high-performing teams, and deploying models into production. What you do: Strategy & Roadmap: Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness Product Development: Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact. Innovation: Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines Team Leadership: Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration. Pre-sales Support: Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions. Client/Stakeholder Communication: Engage with diverse stakeholders, including clients, team members, and management. Organizational Initiatives: Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement. Analysis: Ability to analyze data and prescribe model-based recommendations/actions for the end users. Process Management: Manage projects in an Agile environment. Who You Are Experienced: A visionary leader with 13-15 years in Data Science projects, 4+ years in Marketing Analytics Educated: Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines) Technically Skilled: Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC LLM & AI Specialist: Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA) Cloud & MLOps Fluent: Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack How You Succeed Culture: You will live our culture code every day! Client Success: Client satisfaction targets being met (internal & external) Deliver Business Impact: Translate complex analytical challenges into actionable solutions that drive measurable outcomes and revenue growth. Lead & Influence: Effectively lead interdisciplinary teams, provide thought leadership, and collaborate with various stakeholders. Lead with Innovation: Stay ahead of trends in Agentic AI, AI safety, regulatory frameworks etc. ,to maintain a competitive edge. Quality: Ensure quality across the deliverables Process Adherence: Enforce compliance with standard operating procedures, best practices, and organizational guidelines. Business Growth: Identify opportunities to expand existing accounts and develop new business by understanding client needs, proposing value-driven solutions, and fostering long-term relationships. Brainlabs delivers high performance for our clients and ourselves. We do that through our high-performance culture. That means each and every one of us has very clear goals every year which are the focus for our own contribution, growth and coaching. Practice Efficiency Working effectively to manage your own time in accordance with client requirements Client Client satisfaction One client case study produced to show the impact of your work on growing client business Practice Growth Learning certification/hours met Actively contributing ideas and innovations to the wider practice Technology & QA Adoption target of 100% met 95% QA metric hit Process automation Live our Culture Code Give 5 meaningful pieces of feedback each month Receive 360 positive feedback on how you live our Culture Code Grow Knowledge Complete Brainlabs Data Science Advanced Certification Brainlabs Internal Mentor accreditation (Optional) What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area. Show more Show less

You are joining an innovation team with a mission to revolutionize how enterprises utilize AI. Operating with the agility of a startup and the focus of an incubator, we are assembling a close-knit group of AI and infrastructure experts fueled by bold ideas and a common objective: to reimagine systems from the ground up and deliver groundbreaking solutions that redefine what's achievable - faster, leaner, and smarter. In our fast-paced, experimentation-rich environment, where new technologies are not just embraced but expected, you will collaborate closely with seasoned engineers, architects, and visionaries to develop iconic products capable of reshaping industries and introducing entirely new operational models for enterprises. If you are invigorated by the prospect of tackling challenging problems, enjoy pushing the boundaries of what is possible, and are eager to contribute to shaping the future of AI infrastructure, we are excited to connect with you. As Cisco seeks a forward-thinking Architect for AI Infrastructure Software, you will play a pivotal role in spearheading the development of the next-generation AI infrastructure platform. This strategic leadership position at the intersection of software engineering and AI systems will require you to define the vision, architecture, and execution of high-performance software that directly influences how enterprises deploy, scale, and optimize AI workloads. Your responsibilities will include mentoring a high-caliber team, delivering robust control and data plane solutions, and operating them as a SaaS service with a relentless focus on uptime, quality, and customer success. Additionally, you will guide strategic decisions on resource usages in generative AI systems and collaborate across functions to align product direction with infrastructure capabilities. Key Responsibilities: - Architect and develop a SaaS control plane emphasizing ease of use, scalability, and reliability. - Design data models to drive APIs, ensuring best practices for usability and operations. - Utilize Kubernetes (K8s) to build scalable, resilient, and high-availability (HA) architectures. - Demonstrate a profound understanding of Nvidia and AMD metric collection and AI-driven analysis. - Plan and coordinate engineering work, map tasks to releases, conduct code reviews, and address technical challenges to facilitate releases. - Generate architecture specifications and develop proof-of-concept (POC) solutions for clarity as necessary. - Collaborate with product management to comprehend customer requirements and build architecturally sound solutions, working closely with engineers on implementation to ensure alignment with architectural requirements. - Manage technical debt with a strong emphasis on upholding product quality. - Integrate AI tools into everyday engineering practices, including code reviews, early bug detection, and test coverage automation. Required Skills: - Deep expertise in Golang, Python, C++, eBPF. - Proficiency in Kubernetes (K8s), Helm, Kubebuilder, K8S Operator pattern. - Hands-on experience with CI/CD pipelines and their impact on release quality. - Demonstrated experience in building and running SaaS services. - Strong design skills in distributed systems and large-scale data collection. - Familiarity with SLA/SLO principles and managing application scalability. - Practical experience with the NVIDIA stack and CUDA development. Minimum Qualifications: - Demonstrable experience in Golang development. - Leading CI/CD tools and API-first design practices. - Operations of Kubernetes for running SaaS services. - AI tools and generative AI applications for engineering. - Comprehensive understanding of software release processes, including the use of feature flags to ensure predictability. - Proficiency in utilizing agents during coding, review, CI, and CD processes. - Bachelor's degree or equivalent with 10+ years of engineering experience. Preferred Qualifications: - Proven leadership experience in building and guiding SaaS software teams in high-growth, dynamic environments. - Master's degree or equivalent. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection - we celebrate our employees" diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best but be their best. We understand our outstanding opportunity to bring communities together, and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer - 80 hours each year - allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!,