Demo

Senior Machine Learning Engineer

Rise2Recruit
San Francisco, CA Full Time
POSTED ON 4/15/2025
AVAILABLE BEFORE 5/15/2025

Senior Machine Learning Engineer

Salary- $150,000

Location- San Francisco Bay Area

Hybrid- 2-3 days in office per week

About Us

We are seeking an exceptional Machine Learning Engineer to join our clients growing AI team. As a key member of our clients organization, you'll be responsible for developing and deploying cutting-edge machine learning solutions that drive business value and innovation.

Core Responsibilities

  • Design, develop, and implement scalable machine learning models and algorithms
  • Collaborate with cross-functional teams to identify and solve complex business problems using ML / AI solutions
  • Build and maintain ML pipelines for data preprocessing, model training, and deployment
  • Optimize existing models and systems for maximum efficiency and accuracy
  • Conduct A / B tests and experiments to measure model performance
  • Stay current with latest ML research and technologies, evaluating their potential application
  • Mentor junior team members and contribute to technical documentation

Required Qualifications

  • Master's or Ph.D. in Computer Science, Mathematics, Statistics, or related field
  • 3 years of hands-on experience developing and deploying ML models in production
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Experience with deep learning, natural language processing, and / or computer vision
  • Solid understanding of ML fundamentals, including supervised / unsupervised learning, neural networks, and optimization techniques
  • Expertise in data structures, algorithms, and software engineering best practices
  • Experience with ML deployment tools and MLOps practices (Docker, Kubernetes, CI / CD)
  • Strong command of version control systems (Git) and collaborative development
  • Preferred Qualifications

  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Knowledge of distributed computing and big data technologies (Spark, Hadoop)
  • Contributions to open-source ML projects or research publications
  • Experience with ML model monitoring and maintenance in production
  • Familiarity with modern AI frameworks and large language models
  • Technical Skills

  • Programming Languages : Python, SQL
  • ML Frameworks : PyTorch, TensorFlow, scikit-learn
  • Cloud Platforms : AWS / GCP / Azure
  • MLOps Tools : Docker, Kubernetes, MLflow
  • Version Control : Git
  • Big Data : Spark, Hadoop (preferred)
  • Salary : $150,000

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