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Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Software Development Engineer 3 - AI Data Engineering

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Advanced knowledge across data and analytics, typically gained through a university degree and 6+ years of experience.
  • Knowledge of data provisioning, data mining, data visualization, machine learning, Python or R development, GitHub, cloud computing platforms such as AWS, and model governance with MLflow or equivalent.
  • Ability to develop and deploy generative AI solutions.
  • Programming experience in Python and hands-on experience with PyTorch or TensorFlow.
  • Experience with prompt engineering and vector databases.
  • Experience working with unstructured and semi-structured data.
  • Experience fine-tuning deep learning models.
  • Familiarity with a cloud environment such as AWS, Google Cloud Platform, or Azure.
  • Knowledge of MLOps principles and the model development lifecycle.
  • Ability to package information and data into clear insights about broader problems and explain their implications for the business unit.
  • Ability to analyze how conclusions and actions affect people, technology, structure, and workflow across teams.
  • Ability to analyze current states, recommend improvements, understand complexity, and execute complex solutions.
  • Ability to identify future-state needs and dimensions of change, create transition plans, implement and monitor change, and align plans with enterprise strategy.
  • Ability to analyze information with a broad perspective, use analytical judgment and creativity to structure work and solve non-obvious problems, and assess proposed solutions.

Responsibilities

  • Develop and deliver AI-powered solutions to help bring medicines to patients faster.
  • Develop machine-learning pipelines that can rapidly incorporate new or more effective modeling approaches.
  • Partner with business and IT groups to scale and operationalize AI solutions in support of business goals.
  • Engage the broader community to educate the business on practical AI applications and promote business value and adoption.
  • Serve as a knowledge expert in foundation models and communicate insights, recommendations, value, and impact to technical and non-technical stakeholders.
  • Stay current with data science and machine-learning trends and apply relevant knowledge to drive organizational innovation.
  • Frequently interact with internal and external stakeholders regarding operational decisions and business requirements.
  • Provide others with challenging opportunities to build team capabilities and help foster awareness and learning through conversations and debate.
  • Improve processes, structures, and knowledge within the team.
  • Identify future-state needs, create transition plans for new processes, implement and monitor change, and align plans with enterprise strategy.
  • Review and assess solutions proposed by others to determine the best path forward.

Desired Qualifications

  • Experience building retrieval-augmented generation (RAG) pipelines and chat applications, and implementing AI agents.
  • Experience with LlamaIndex and LangChain.
  • Experience leveraging Hugging Face models.
  • Familiarity with vision models.

About the Company

Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Bristol Myers Squibb discovers, develops and sells prescription medicines for serious illnesses, including cancer, blood disorders, immune diseases and heart disease, for patients treated by doctors and hospitals around the world. Its best-known drug is Opdivo, an immunotherapy that helps the body's own immune system find and attack many kinds of cancer. Researchers develop drug candidates in its labs or bring them in through acquisitions and partnerships, then test them in clinical trials to win regulatory approval. The company makes and markets the approved medicines and earns its revenue from sales of patent-protected drugs. Its roots go back to a business founded in 1887, and it is based in Lawrence Township, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Lawrence Township, NJ
Founded
1887

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