Principal Machine Learning Engineer

hace 4 semanas

Colombia Twilio A tiempo completo
About the Role

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.

As a Principal Machine Learning Engineer, you will work closely with cross-functional teams to design, develop, and deploy AI-powered applications that leverage Generative AI and Supervised Machine Learning models. Your expertise will be instrumental in solving complex problems and empowering our customers to be more efficient and effective in their operations.

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 (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras.
  • 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.
Qualifications
  • 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

Twilio offers a competitive salary, generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio is proud to be an equal opportunity employer and is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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