- Develop and implement AI-powered solutions to expedite access to medications for patients
- Build ML pipelines that can swiftly adapt to new and more effective modeling methods
- Collaborate with business and IT teams to expand and operationalize AI solutions to advance business objectives and gain a competitive edge
- Educate a wider audience on the practical application of AI to drive value and adoption across the business
- Act as a subject matter expert in foundational models, conveying insights, recommendations, and value to both technical and non-technical stakeholders
- Stay informed about emerging trends in data science and machine learning, applying this knowledge to drive innovation within the organization
- Advanced knowledge across various data & analytics domains, typically acquired through a university degree and 6+ years of experience
- Proficiency in data & analytics areas such as data provisioning, data mining, data visualization, machine learning, NLP, python/R coding, Github, cloud computing platforms like AWS, and model governance using MLFlow or equivalent
- Ability to lead initiatives related to the implementation of new technologies, particularly LLM-based solutions
- Skilled at packaging information and data to provide insights on complex issues, highlighting implications critical to the business unit
- Regular interaction with internal and external stakeholders concerning operational decisions and business needs
- Encourages the development of strong team capabilities by offering challenging opportunities for growth
- Demonstrates a commitment to process improvement, knowledge enhancement, and team development, with a focus on understanding complex environments and executing solutions effectively
- Keeps abreast of emerging trends in a specialized area, identifying opportunities for organizational change and aligning plans with the enterprise's strategic vision
- Adopts a broad perspective in analyzing information, utilizes analytical thinking, and encourages others to do the same in considering long-term implications and identifying creative solutions
- Developing and implementing generative AI solutions
- Proficiency in Python programming and experience with frameworks like Pytorch or Tensorflow
- Experience in prompt engineering and vector databases
- Working with unstructured and semi-structured data
- Fine-tuning deep learning models
- Familiarity with cloud environments (AWS/GCP/Azure)
- Understanding of MLOps principles and the model development lifecycle
- Expertise in ML deployment in GPT-4 applications
- Creating RAG pipelines, chat applications, and implementing AI agents
- Knowledge of frameworks such as LlamaIndex and LangChain
- Proficiency in leveraging Hugging Face models
- Familiarity with vision models
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Data Scientist Iii
3 weeks ago
Bristol Myers Squibb Hyderabad, India**Working with Us** · Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production ...
Senior Data Scientist - Hyderabad, India - Bristol Myers Squibb
Description
Challenging. Meaningful. Life-changing. Those are not typical words used to describe a job. But working at Bristol Myers Squibb is far from ordinary. Every day, interesting work takes place in every department. From optimizing production lines to the latest advancements in cell therapy, this is work that positively impacts patients' lives and the careers of those involved. You will have opportunities to grow and succeed beyond your expectations in a diverse and high-achieving team. Take your career to new heights here.