Principal Machine Learning Engineer

hace 1 semana

Colombia Twilio A tiempo completo

Role Summary

Twilio is seeking a highly skilled Principal Machine Learning Engineer to join our Efficiency Engineering team. As a key member of this team, you will be responsible for developing and deploying cutting-edge AI and machine learning solutions that drive business outcomes.

Key Responsibilities

  • Develop and deploy predictive models, including propensity models and GenAI-powered applications, to production environments.
  • Collaborate with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models.
  • Utilize advanced technical stack, including Python, SQL, R, AWS, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
  • Integrate enterprise data sources, such as Salesforce and Zendesk, to inform model development and enhance predictive accuracy.
  • Harness the power of Large Language Models (LLMs) to develop innovative GenAI use cases and solutions.

Requirements
  • Proven experience (typically 6+ years) in data science, with a strong emphasis on developing and deploying LLMs and supervised ML models.
  • Proficiency in programming languages such as Python, or R, and experience with data science frameworks like SciKit-Learn, XGBoost, Keras etc.
  • Strong understanding of data processing and transformation techniques, including experience with SQL and big data technologies (e.g., Spark, Hadoop).
  • Demonstrated ability to develop, train, and deploy ML models and Python apps in production environments.
  • Experience with cloud platforms (AWS Sagemaker for ML Models) and familiarity with containerization tools like Docker and Kubernetes.
  • Excellent problem-solving skills, with the ability to translate complex business requirements into actionable AI/ML engineering solutions.
  • Strong communication skills, capable of articulating complex concepts to both technical and non-technical stakeholders.

What We Offer
  • Competitive pay and benefits package.
  • Generous time-off and wellness leave.
  • Opportunities for professional growth and development.
  • A dynamic and inclusive work environment.

Location
This role will be remote and based in Colombia. Travel is anticipated to be approximately 15% to connect with customers and colleagues in person.

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