- Develop and deliver AI-powered solutions that will bring more medicines to more patients faster.

- Develop ML pipelines that can evolve rapidly to incorporate new and/or more effective modeling approaches.

- Partner with business and IT groups to scale and operationalize AI solutions to advance business goals and gain competitive advantage.

- Engage a broader community to help educate the business on the practical application of AI to drive business value and widespread adoption.

- Serve as a knowledge expert in foundation models and communicate insights, recommendations, value and impact to technical and non-technical stakeholders.

- Stay up-to-date with emerging trends in data science and machine learning, and apply that knowledge to drive innovation within the organization.

Qualifications & Experience :

- Requires advanced knowledge applicable to a wide range of work in data & analytics and thorough knowledge of other functions, typically gained through a university degree and 4+ years of experience.

- Demonstrates knowledge in data & analytics skillsets such as data provisioning, data mining, data visualization, machine learning, GenAI code development in python/R, Github, cloud computing platforms like AWS, model governance with MLFlow or equivalent.

- Potential to lead initiatives related to implementation of new technologies, especially LLM-based solutions.

- Can package information and data that tells a story and provides insight to a broader problem.

- Presents and explains the implications of key information on issues important to the business unit.

- Frequently interacts with other internal and external stakeholders regarding operational decisions and business requirements.

- Analyzes the impact of conclusions and actions on people, technology, structure, and workflow across teams.

- Gives others challenging opportunities to build strong capabilities for team.

- Helps drive a culture which motivates awareness and learning through creating space for conversations and debate.

- Demonstrates a focus on improving processes, structures, and knowledge within the team.

- Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion.

- Stays current with emerging trends in specialty area.

- Identifies future state and dimensions of change (org, tech, cultural) to achieve.

- Creates transition plans for new processes, implements and monitor's change.

- Ensures alignment of plans with the enterprise's strategic vision and translates the vision to connect to team's work.

- Maintains a broad perspective when analyzing information and utilizes analytical thought while pushing others to do the same, considering long-term implications.

- Uses judgement and creativity in structuring work and finding solutions that are not obvious.

- Reviews and assess solutions proposed by others to determine the best path moving forward.

Required Knowledge and Skills :

- Minimum 5 years of experience.

- Developing and deploying generative AI solutions.

- Programming in Python and hands-on experience with frameworks such as Pytorch or Tensorflow Must have.

- Prompt engineering and vector databases.

- Work with unstructured and semi-structured data.

- Fine-tuning deep learning models.

- Familiarity with a cloud environment (AWS/GCP/Azure) is mandatory.

- MLOps principles and model development lifecycle is needed.

- Expert in ML deployment in GenAI applications.

Desirable Experience :

- Building RAG pipelines, chat applications and implementing AI agents.

- GenAI Frameworks such as LlamaIndex and LangChain.

- Knowledgeable in Agentic frameworks like LangGraph or Bedrock Agents.

- Familiarity with vibe coding platforms like Cursor or Github Copilot.

- Proficient in topics like model fine-tuning, RLHF, LLM tool-use.

- Strong foundations in software engineering and working in an AI product team.

- Familiarity with vision models.