Senior Machine Learning Engineer

2 months ago


San Diego, United States Barrington James Full time

Barrington James is seeking a highly skilled and experienced Senior Machine Learning Engineer to design, build, and deploy cutting-edge AI/ML solutions for one of its clients based in San Diego, California . You'll collaborate across teams to deliver impactful features and products, mentor junior engineers, and stay at the forefront of the industry.


Responsibilities:


  • Partner with stakeholders to define intelligent features and products, ensuring alignment with business goals.
  • Lead and mentor a team of data scientists and engineers, fostering a collaborative and high-quality environment.
  • Develop innovative model-based solutions, adhering to best practices and accountability standards.
  • Design, build, and manage scalable global AI/ML architectures, including production support for live systems.
  • Conduct research, experiment, test, validate, and document your work for future reference and potential publications.
  • Stay up-to-date on industry trends, best practices, and emerging technologies to continuously improve AI/ML solutions.
  • Champion Proof-of-Concepts (POCs) to showcase the value of proposed solutions.
  • Identify and implement process improvements, including automation and infrastructure scaling.
  • Collaborate with all levels of leadership to address AI/ML technical challenges and support infrastructure needs.
  • Proactively manage and resolve escalated incidents, preventing future occurrences.
  • Participate in code review and contribute to process enhancements.


Requirements:


  • 5+ years of experience in Data Science, Machine Learning Engineering, or Data Engineering.
  • Master's or PhD in Data Science, Machine Learning, or a closely related field.
  • Strong academic and practical foundation in Data Science fundamentals (probability, statistics, optimization, etc.).
  • Deep understanding of various machine learning techniques (regression, classification, clustering, etc.).
  • Experience building scalable AI/ML systems for complex problems (computer vision, NLP, recommender systems, etc.).
  • Expertise in developing data analytics systems (data exploration, feature engineering, model building, deployment).
  • Hands-on experience with managing large datasets (Spark, Hive, SQL, NoSQL).
  • Experience with cloud platforms (AWS or similar) and MLOps tools (SageMaker, Airflow, Kubeflow, etc.).
  • Proficiency in writing production-grade Python code.


Interested ? If so, please apply with your CV, and we will be in touch to arrange a call.



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