Job Title:  Data Scientist

Location: Thousand Oaks, CA

Duration: 06+ Months

*Send me the resumes to venuelika...@thetiltedge.com
<venuelika...@thetiltedge.com> *

*Job Description – *

The Global Quality Analytics & Innovation (GQAI) team leads the digital
transformation and innovation effort throughout Amgen’s Quality
organization. We are at the forefront of developing and rolling out
data-centric digital tools, employing automation, artificial intelligence
(AI), and generative AI to drive end-to-end quality transformation.



We are seeking an experienced, highly motivated Data Scientist with a
strong focus on generative AI and large language models (LLMs). The
successful candidate will contribute their expertise to develop AI-driven
tools, optimize machine learning (ML) models, and advance the adoption of
generative AI technologies within the organization.



*Key Responsibilities:*

* Collaborate with cross-functional teams to create and manage AI and
ML-powered digital products across various stages of development.

* Develop and integrate generative AI and LLM-based solutions, ensuring
modular and reusable code for scalability.

* Analyze enterprise data and monitor performance of deployed models to
generate actionable insights in support of business objectives and maintain
data/model quality.

* Partner with business stakeholders to identify opportunities for
leveraging ML and AI to drive process improvements and enhance efficiency.

* Contribute to the development of MLOps pipelines and automation workflows
to support scalable deployment of ML/AI solutions.



*Education:*

Doctorate degree in computer science, mathematics, computer/electrical
engineering, or a related quantitative field

- OR -

Master’s degree and 2+ years of experience in data science, machine
learning, or software development



*Preferred Skills:*

* Doctorate degree or Master’s degree with 3+ years of experience in a
related field.

* Expertise in developing and deploying ML and generative AI models,
including experience with LLM frameworks such as LangChain, LlamaIndex, or
similar.

* Advanced proficiency in SQL, Python and ML/AI libraries (e.g.,
Scikit-learn, TensorFlow, PyTorch).

* Foundational knowledge and hands-on experience with Natural Language
Processing (NLP) and LLMs.

* Familiarity with MLOps and DevOps practices, including tools like MLflow,
CI/CD pipelines, and version control systems.

* Experience with cloud computing technologies, e.g., AWS, Spark,
Databricks.

* Understanding of API development and deployment (e.g., FastAPI, RESTful
APIs).

* Proficiency in business intelligence and visualization tools like
Tableau, Streamlit, or Dash.

* Strong organizational skills and attention to detail.

* Excellent verbal and written communication skills, with the ability to
translate complex technical concepts for diverse audiences.



*Top 3 Must Have Skill Sets:*

1. Advanced proficiency in machine learning and software development using
Python and SQL, with a focus on Generative AI and Large Language Models
(LLMs).

2. Ability to communicate technical information concisely and effectively
to audiences of varying backgrounds

3. Ability to analyze, interpret, and provide actionable insights from
business problems, data, and Machine Learning or Generative AI models



*Day-to-Day Responsibilities:*

 • Design, integrate, and optimize Machine Learning and Generative AI
products

* Manage and enhance current digital products with a focus on creating
modular, reusable code

* Test and evaluate new techniques and scripts

* Prototype digital products

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