Data Scientist Enterprise AI Solutions || Seattle, WA - Onsite

Pro-integrate LTD - Seattle, WA

Full-time - Senior

Seattle, WA

About the position

The Data Scientist for Enterprise AI Solutions at Centific will play a crucial role in developing AI-powered applications for large enterprises. This position involves collaboration with data scientists, engineers, and subject matter experts to implement innovative AI solutions that enhance data-driven decision-making and support digital transformation initiatives. The role focuses on deploying machine learning algorithms and ensuring the scalability and performance of AI applications on the Centific AI Platform.

Responsibilities

• Design and deploy machine learning algorithms for industrial applications such as predictive maintenance, demand forecasting, and process optimization.
• Collaborate with data and subject matter experts from Centific and client teams to identify, validate, interpret, and utilize new data elements effectively.
• Drive the adoption and scalability of Generative AI and Deep Learning systems within Centific’s product offerings.
• Conduct research, analysis, and benchmarking of different AI models.
• Develop and present Points of View (PoV) on various AI models to guide strategic decisions.
• Work with SMEs, Solution Team, and Engineering team to pilot new PoV solutions and scale them out.
• Establish and adopt best practices in MLOps.

Requirements

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or a related field.
• Extensive experience in applied machine learning (regression, classification, supervised, self-supervised, and unsupervised learning).
• Strong foundation in mathematics (linear algebra, calculus, probability, and statistics).
• Proficiency in Python and object-oriented programming languages, such as JavaScript.
• Familiarity with key Python libraries for data manipulation, machine learning, and deep learning (e.g., pandas, scikit-learn, TensorFlow, PyTorch, LangChain).
• Ability to lead projects and work both independently and within cross-functional teams.
• Excellent verbal and written communication skills.
• Proactive, motivated, and eager to make an impact in a dynamic environment.

Nice-to-haves

• Experience with scalable machine learning frameworks (e.g., MapReduce, Spark).
• Expertise in Generative AI, including Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
• Experience with reinforcement learning.
• A portfolio of relevant projects (e.g., GitHub repositories, published papers).