Machine Learning Engineer (AI/ML) @ Adobe Consultants

Job Description

JOB LEVEL P40 EMPLOYEE ROLE Individual Contributor Our Company Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences. Were on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new insights can come from everywhere, and we know the next big idea could be yours! At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. The Opportunity Structured Content is at the heart of the engines powering the new age Experiences such as Chatbots, Voice Based Devices, Fluid and Omni-Channel content delivery. In Technical Communication group of Adobe, we are developing a new age Component Content Management System which powers the journey of Structured Content for large enterprises. Scale and efficiency are key here. Millions of documents are published regularly to multiple platforms and channels across the industry using this solution. We have a strong vision and we are looking for a highly motivated, technically driven and hands on leader to realize it for our product. About the Team: AEM Guides is a new age technology CCMS. It is used by Fortune-500 companies which publish millions of documents regularly using this product. It is a unique opportunity to work in a startup like environment within a large organization where all product functions collaborate closely with the business counterparts and with the large enterprise customers. Given the enterprise business domain and the startup nature of the team, we are growing fast and scaling the product scope and customer base at a very rapid pace. Roles & Responsibilities: This is an individual contributor position. Expectations will be on the below lines: Collaborate with cross-functional teams to determine key interfaces for your projects and build them with agility. Successfully implement complex ML based solutions using Natural Language Processing (NLP), Generative AI, Retrieval Augmented Generation (RAG) and Transformer architectures to optimize Adobe's products and services. Develop, evaluate, and deploy scalable ML models into production. Monitor and evaluate the performance of ML models, making necessary adjustments to compete at the highest level. Consistently follow industry standard methodologies in software engineering, ensuring code of high quality and flawless performance. Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive. Bring innovative ideas based on the latest technological breakthroughs to build solutions and solve problems. Apply data analysis and mining using frameworks such as Hadoop and Spark to build insights for product roadmap. Build reliable and scalable data processing pipelines using best of the data engineering practices. Do analysis and present key findings, insights and concepts to key influencers and leaders. Required Skills & Expertise: A master's degree or equivalent experience in Machine Learning. Total 10 years: 5+ years of industry experience in ML, with a proven record of designing, implementing, and delivering high-quality AI and ML software solutions AND 5+ years of industry experience in software engineering and data engineering. Strong knowledge of Python, Python based ML and Data Science frameworks with fluency in at least one machine learning framework such as PyTorch, TensorFlow or and Scikit-learn. Strong programming skills in languages such as Python and Java Knowledge and practice of ML Ops. Experience working with both research and product teams. Excellent problem-solving skills, with a proven track record of delivering innovative solutions. Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas. Strong curiosity about staying ahead of the curve by familiarizing yourself with the latest and the best in the technological landscape and turning them into effective solutions for our customers. Ability to build consensus & drive decisions in ambiguous scenarios Excellent work ethics and highly motivated Excellent oral and written communication skills (interpersonal and client-facing) Ability to manage systems development scope and changes in the context of the business environment. Minimum of a Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related field. Other Info: Adobe Fast Facts: https://blogs.adobe.com/adobelife/category/apac/ Li*e@Ad**e Blog: https://blogs.adobe.com/adobelife/category/apac/ Adobe Corporate Social Responsibility: http://www.adobe.com/corporateresponsibility/ Adobe Culture and Benefits: https://benefits.adobe.com/in Adobe Investor Relations: http://www.adobe.com/aboutadobe/invrelations Discover Check-In: https://www.adobe.com/check-in.html Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. Were glad that youre pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and Workday profile dont forget to include your uniquely Adobe experiences and volunteer work. 2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles youre interested in. 3. Check out these tips to help you prep for interviews. Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If youre looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact hidden_email.,

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Keyskills:   Machine Learning Natural Language Processing Python Java Data Science Hadoop Spark PyTorch TensorFlow