Machine Learning Engineer 3

Job Description

JOB LEVELP30EMPLOYEE ROLEIndividual ContributorExcited by AI/ML Interested in crafting new innovative solutions using Machine Learning The Document Cloud team, in Noida, is crafting PDF solutions spanning all surfaces - Web, Mobile, Desktop and Platform APIs, that processes billions of PDFs every month using ML, Deep-Learning and Generative AI at its core.As a part of this, we need expert individuals focusing on research and development of methods for processing huge amount of content, and can build mashups of Vision, Image Processing, NLP, generative models to solve sophisticated problems.What you get to do in this role: Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases! Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science! Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale. Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions.In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD preferred. 3 years hands-on experience in either deep-learning models, Image processing, Vision and/or NLP. Ability to write efficient, clean, and reusable code in Python. Knowledge of C. Broad Machine Learning experience Data, Modelling, Metric, Analysis of Results. Experience in prompt-engineering and working with advanced-RAG systems. Exposure to Deep Learning - CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, multi-task learning. Hands-on coding in pyTorch or Tensorflow. Exposure in building solutions from scratch and writing maintainable code inside large existing codebases. Strong software development skills that encourage code reuse among engineers and researchers.Internal OpportunitiesCreativity, 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, Adobes 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.,

Keyskills :
Machine LearningDeep LearningNLPComputer VisionPythonData ScienceTransformersGenerative AICNNsLSTMsPyTorch