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Job Description

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.


The Position

Senior Data Scientist (GenAI)


Roche India - Roche Services and Solutions


Hyderabad


A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love.


That’s what makes us Roche.


Roche has established Global Analytics and Technology Center of Excellence (GATE) at Chennai and Hyderabad to drive analytics & technology driven solutions by partnering with Roche affiliates across the globe.


As a Senior Data Scientist, specializing in Generative AI, you would lead development of a business solution through advanced NLP techniques in an agile delivery mode, working directly with partners in the business teams from Roche affiliates across the globe.


Your Opportunity


  • Work independently and/or lead team of Data Scientists to design and develop pipelines for Develop and implement enterprise-level GenAI models and tools to solve business problems


  • Work with partners throughout the organization to identify opportunities for leveraging company data to drive business solutions


  • Conduct research to identify emerging trends and technologies in Gen AI and other areas of data science


  • Build toolsets and re-usable components for our future projects and ideas and automate the AI solution to achieve maximum efficiency


  • Write modularized, production ready code that is easily scalable across data volume and business functions


  • Lead project delivery with your Manager through regular meetings, extensive documentation and clear timeline setting


  • Develop processes and tools to monitor and analyze model performance and data accuracy


  • Train junior team members on NLP and ML techniques


Who You Are:


  • You holds bachelor degree with 5-8 years of experience in the Data Science and Generative AI. Preferably, you have a Master's in Data Science, Machine Learning, Statistics, Economics/Econometrics, Computer Science or related field)


  • Certifications on AI/ML/Data science would be an added advantage


  • Understanding of basic concepts in Text Mining, NLP and NLU, hands-on experience with regular expressions


  • Prompt Engineering: be able to craft effective prompts and instructions to guide models towards desired outputs, ensuring coherence, factual accuracy, and alignment with ethical considerations


  • Model Optimization: Leverage techniques like RAG, Fine tuning to optimize models


  • Experience with modern deep learning architectures for NLP (encoder-decoder, transformers, attention), including: a) hands-on experience with using transformers like Huggingface, SBert, GPT-2/GPT-3 b) capability to build ML/DL pipeline for training/tuning model (including transfer learning)


  • Knowing Docker, Kubernetes and cloud platforms (especially AWS) is added advantage


  • General understanding of AGILE Project Delivery process


  • Excellent written and verbal communication skills for coordinating across teams


  • Strong analytic approach and logical thinking capability, strong QC approach


Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.


Roche is an Equal Opportunity Employer.


Job Details

Job Location
Hyderabad Pakistan
Company Industry
Other Business Support Services
Company Type
Unspecified
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified
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