Senior Computer scientist 1
2 months ago
Description
Adobe InDesign is the industry-leading page design software and layout app that lets you create, pre-flight and publish professional documents for print and digital media. InDesign has everything you need to make posters, books, digital magazines, eBooks,
interactive PDFs and more. InDesign is part of creative suite of products from
Digital Media. InDesign is used by millions every month and touches the lives of people across the globe.
Our development team tackles a wide variety of engineering problems - complex typography and layout algorithms, graphics handling, rendering, sophisticated UI design and much more. We are looking for a Technical member with ML expertise to join our team
What you’ll do
Own product solutions through their end to end development lifecycle ensuring high quality. As a key member of the team you will be expected to design, build, test and deploy stable, scalable and simple solutions. Work very closely with product management, experience designers, quality engineering for defining requirements for features. Focus on R&D as well as an innovative mindset to identify potential opportunities within the product The position involves identifying the right solution for given problem by identifying the data-set, model training/development, debugging, deployment at scale, monitoring, analysing, etc Work in highly collaborative, fast paced, agile environment. Work with highly flexible and geographically distributed teams. Mentor junior team members.Must have skills:
/ in Computer Science & Engineering from a premier institute. More than 11 years of overall design / development experience. 5-7 Years hands on experience in ML Proficient in C/C++, data structures and algorithm. Knowledge of application development on multiple platforms including various flavours of Windows and Macintosh. Should have excellent knowledge in fundamentals of Machine Learning and Artificial Intelligence. Should have hands on experience through ML Lifecycle from EDA to model deployment. Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc. Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. & architectures like Diffusion, LLM, etc. Can do attitude and willingness to take on challengesNice to have skills:
Relevant work experience in the fields of computer vision and graphics Exposure to Cloud platforms like AWS/Azure. Develop cloud enabled, highly scalable and distributed solutions Familiarity with Docker, Kubernetes is a plus.-
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