Doorman / Concierge to £32,000
Love Success
and the UK. Whether you’re a candidate seeking Personal Assistant roles in London or an employer looking to hire…
£30000 – 32000 per year
London
Sun, 17 Nov 2024 06:08:22 GMT
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hiring-jobs.com Position Summary...What you'll do...Walmart is seeking a highly skilled Principal Data Scientist with strong Causal Inference…
hiring-jobs.com Position Summary...What you'll do...**Immigration sponsorship is not available for this role.**Are you a Principal Machine Learning Engineer with 10+ years of experience providing technical and architectural guidance, with 5+ years in technical lead or architect roles?Are you a thought technical leader with excellent communication skills who's looking for their next challenge? If Yes, then read below!!About Team: Personalization team at Walmart develops and manages large scale interfaces leveraging advanced system designs. The experience for millions of customers is catered to their preferences and purchase patterns allowing them to quickly complete their buying experience. While doing so, we look to build a trusted partnership with the customers. This team works on large scale data systems and infers about customer's engagement through their journey, seasons and online activities. We are looking for a Principal Machine Learning Engineer who can lead the architecture and interfaces for generating images. They would be interacting extensively with business users, product owners to build systems that can scale to the generative use cases and at the same time accepts feedback from the users.What you'll do:Design & Architecture: Provide deep technical expertise and thoughts that help accelerate adoption of the best engineering practices, while maintaining knowledge on industry innovations, trends, and practices.Generative AI Models: Drive the development and integration of generative models (e.g., GANs, diffusion models) tailored for ecommerce and personalized content generation.Cross-functional Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into technical solutions, driving innovation in personalized image creation and ecommerce experiences.Data Analysis & Insights: Leverage advanced data analysis to extract insights from platform usage, model performance, and customer behavior. Use this data to inform model improvements, feature development, and overall platform enhancements.Cloud Infrastructure: Design cloud-native solutions leveraging technologies such as Kubernetes, microservices, and serverless architecture to enable seamless scaling and cost efficiency.Leadership & Mentorship: Provide technical leadership and mentorship to engineering teams, guiding best practices in software engineering, model development, and cloud infrastructure.Thought Leadership: Contribute to the industry through publications, conference talks, or meetups focused on scalable machine learning systems, generative AI, and cloud-native architectures.What you'll bring:Master’s or PhD in Computer Science, Machine Learning, or related field with strong proficiency in Python.10+ years of experience providing technical and architectural guidance, with 5+ years in technical lead or architect roles.10+ years of experience in designing and deploying large-scale machine learning systems.Strong proficiency in generative AI techniques (GANs, diffusion models) and their application in personalization and recommendation systems.Experience with cloud platforms (GCP, Azure), container orchestration (Kubernetes), and microservices architecture.Excellent leadership, communication, and collaboration skills, with a track record of leading high-performing technical teams.Preferred Experience:Knowledge of Python is necessary, while knowledge of Image processing with LLMs is a plus.Prior experience in ecommerce systems, with a deep understanding of personalization and recommendation systems.Hands-on experience with deploying and maintaining AI models in production, including model monitoring and automated retraining workflows.Active participation in relevant conferences and industry forums with a focus on scalable ML systems and generative AI.About Walmart Global Tech:Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, Hybrid Work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.At Walmart, we offer competitive pay as well as performance-based bonus…
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