COMPLETE Sr Data Science Engineer - Bangalore

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The AI/ ML Sr Consultant position is a Innovation and Solution incubation role requiring both technical and business/marketing knowledge and skills. AI/ML Sr Consultant   will work with multiple stakeholders from 1) Global practice teams 2) Implementation teams 3) Product engineering teams. The responsibilities include but not limited to deep dive into emerging product roadmap, trending customer problems and derive referential deliverables to Implementation teams.  The referential deliverables will give the solutions from use cases derived out of research.   AI/ML Sr Consultant should be able to pivot the role of early learner and demonstrator of AI and Generative AI capabilities being launched and researched in Adobe. AI/ML Sr Consultant should be able to research on product capabilities and apply customer emerging needs /Usecase as a consumption lens to define path breaking and futuristic solutions. Accumulate and dissipate knowledge in forms of play books, white papers, create proof of technology. In addition, consultant help each client architect and implement best in class web analytic setup throughout their websites and applications, perform quality checks to ensure that the implementation work has been completed successfully, and diagnose and solve technical issues when they arise. He/she will also be responsible to contribute to overall digital strategy and derive and setup Analytics product integration with other products to solve key business use-cadeveses. It is an evangelist role with constant focus on research, learning and demonstrating capabilities and enabling teams.
What you'll do
 

• Work with internal product and engineering teams learning the AI and Generative AI features , functionalities being developed on Digital experience products .
• Asses and understand the emerging LLM that are suitable for consulting and co-pilot needs.
• Define the path forward for fine tuning the LLM models for the Consulting services usecase.
• Define and help build the APIs of various products to deliver AI/ML based solutions to other product and solution teams.
• Help understand and clean datasets for networks, help interpret network outputs and make them comprehensible to understand for other teams.
• Create networks that curate (add/generate) media (text today and media tomorrow).
• Build models for legal predictive analytics, natural language understanding, forecasting and anomaly detection.
• Understand the problems that go into building these networks and innovate solutions to mitigate these problems.
• Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams.
• Conduct experiments to evaluate the performance of different machine learning models and algorithms.
• Design, develop, and deploy large-scale machine learning solutions that can handle huge volumes of data with high performance and accuracy which includes data exploration, data preparation, feature engineering, model selection, and hyperparameter tuning
• Understand different media types (images, audio, video. Etc) and build networks that extract information and summary from media.
• Build a deep understanding of         usage and patterns in language.
• Provide statistical input and solutions to help product teams make a better decision.

Report on customer trends and deployment performance and identify areas that we can use target using ML/Data science solutions.

What you need to succeed

Must have:
 

• 8+ yrs. of overall experience working in web analytics or a related field
• Bachelor's/Master's degree in Computer Science with equivalent work experience
• Ability to read and implement related academic literature in deep learning, large language models.
• Fine tune large language models that can generate high-quality text to solve domain specific needs.
• Hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures.
• Implement end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and deployment.
• Continuously research and stay up to date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.
• Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
• Troubleshoot and resolve any issues arising during model training and deployment.
• Solid understanding of the production of machine learning workflow.
• Build an ongoing understanding of current state art of NLU (Natural languages understanding) architectures, methods and processes.
• Strong technical knowledge of Predictive Modeling, Feature Engineering/Scaling, Model Evaluation, and Model Selection.
• Experience in deploying AI applications powered by complex deep learning models in the field of NLP.
• Python, Java, LP, Machine Learning, and Deep Learning (TensorFlow and Pytorch).
• Proficient in shell scripting and automation tools.

Special consideration given for:

• Experience in fine tuning and customizing the LLM.
• Experience in prompt engineering.  
• Strong technical knowledge of Predictive Modeling, Feature Engineering/Scaling, Model Evaluation, and Model Selection.
• Experience in deploying AI applications powered by complex deep learning models in the field of NLP.
• Python, Java, LP, Machine Learning, and Deep Learning (TensorFlow and Pytorch).

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 

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