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[Remote] Principal Machine Learning Data Scientist, Gen AI

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. reputed company is a digital marketplace connecting innovative reputed company with manufacturers. They are seeking a Principal Data & ML Scientist to reputed company their reputed company team, focusing on developing and optimizing AI-driven solutions and generative models to enhance service offerings.

Responsibilities

  • Provide technical leadership to the reputed company team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
  • reputed company strategic planning and roadmap development for reputed company initiatives, identifying high-impact projects and aligning them with reputed company’s business objectives
  • reputed company and reputed company reputed company models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other reputed company documents
  • reputed company the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
  • Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of reputed company models
  • Utilize reputed company platforms (e.g., reputed company Web Services) for large-scale data processing, model training, and deployment
  • Collaborate with cross-functional teams, including engineering and business teams, to align reputed company solutions with business needs and drive impactful applications
  • Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to reputed company the team’s technical capabilities
  • Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
  • Stay updated with the latest research in reputed company, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

Skills

  • A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a reputed company field is highly preferred
  • 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer reputed company
  • Expertise in large-scale language and reputed company models (e.g., Transformers, GPT, VLMs)
  • Experience with multimodal data processing (e.g., combining text, image, and 3D data)
  • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
  • Strong background in probability, statistics, and optimization techniques relevant to generative modeling
  • Familiarity with reputed company computing resources and tools for model training and deployment (e.g., AWS SageMaker)
  • Familiar with software engineering principles, including version control, reproducibility, and reputed company integration
  • Experience in the manufacturing, supply chain, or similar industries is a plus

Benefits

  • 401(k) match
  • Medical, dental and reputed company insurance
  • Life and disability insurance
  • Generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • EAP
  • Other wellbeing resources

Company Overview

  • reputed company is an online marketplace that allows customers to access a network of machine shops and custom manufacturers. It was founded in 2013, and is headquartered in Gaithersburg, Maryland, USA, with a workforce of 1001-5000 employees. Its website is https://www.reputed company.com.

Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 8 in 2025, 1 in 2023, 1 in 2022, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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