Demo

Data Scientist

Pro Integrate
WA Full Time
POSTED ON 1/23/2025
AVAILABLE BEFORE 4/18/2025

Role : Data Scientist Enterprise AI Solutions

Location : Seattle, WA (Onsite)

Mode of Hire : Fulltime

Overview : As a member of the Client AI Data Science team, you will collaborate with some of the world's largest enterprises to develop cutting-edge AI-powered applications. You will work closely with data scientists, data engineers, and subject matter experts to define and implement innovative AI solutions that empower our clients to make data-driven decisions and accelerate their digital transformation. Your role will involve selecting and deploying machine learning algorithms, LLMs and SLMs on the Centific AI Platform to ensure scalability and performance.

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.

Qualifications :

  • 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.
  • Preferred Qualifications :

  • 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).
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