Senior Machine Learning Architect

2 months ago

San Francisco, California, United States Unreal Gigs Full time

**Company Overview:**

Welcome to Unreal Gigs, a pioneering force in machine learning innovation. We're dedicated to harnessing the power of AI to solve complex problems and drive transformative change.

At Unreal Gigs, our mission is to develop cutting-edge machine learning solutions that empower businesses to make informed decisions and achieve their goals.

**Position Overview:**

The Senior Machine Learning Architect will play a critical role in leading our machine learning efforts and driving innovation in machine learning technologies.

You'll lead a team of talented engineers in developing and deploying machine learning models and systems that power our products and services.

**Key Responsibilities:**

  1. Technical Leadership: Lead and inspire a team of machine learning engineers, setting technical direction, defining best practices, and driving innovation in machine learning technologies.
  2. Model Development: Design, develop, and deploy machine learning models and algorithms to solve complex business problems and drive insights.
  3. Data Preparation: Collect, clean, and preprocess data from various sources to train machine learning models, ensuring data quality and suitability for modeling purposes.
  4. Feature Engineering: Identify and engineer relevant features from raw data to improve model performance and predictive accuracy.
  5. Model Training and Evaluation: Train and evaluate machine learning models using appropriate techniques and metrics, iterating and refining models as needed to improve performance.
  6. Model Deployment: Deploy machine learning models into production environments, working closely with engineering teams to ensure scalability, reliability, and performance.
  7. Performance Monitoring: Monitor and maintain the performance of deployed models, identifying and addressing issues as they arise.
  8. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and deliver solutions that meet user needs.
  9. Documentation and Best Practices: Document methodologies, assumptions, and findings in clear and concise documentation, and promote best practices in machine learning development and deployment.

**Qualifications:**

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 10+ years of experience in machine learning engineering, with a proven track record of developing and deploying machine learning models and systems.
  • Leadership experience, with a track record of leading machine learning teams and driving impactful results.
  • Proficiency in programming languages such as Python, Java, or Scala, and experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with distributed computing and big data technologies.
  • Strong problem-solving abilities and critical thinking skills, with a passion for tackling complex machine learning challenges.
  • Excellent communication and collaboration skills, with the ability to work effectively in multidisciplinary teams and communicate technical concepts to non-technical stakeholders.

**Estimated Salary:** $220,000 per year.

**Benefits:**

  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.

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