Senior Data Science Engineer

hace 3 semanas


Colombia Twilio A tiempo completo

Twilio, a leading communications platform company, is seeking a Senior Data Science Engineer to join our Efficiency Engineering team. We're shaping the future of communications and empowering millions of developers worldwide to craft personalized customer experiences.

This role offers an exciting opportunity to harness the power of advanced machine learning technologies to drive innovation and efficiency. As a Senior Data Science Engineer, you will be instrumental in developing supervised machine learning (ML) propensity models as well as state-of-the-art GenAI/LLM-powered applications.

Responsibilities:

  • Develop and Deploy Predictive Models: Build and deploy machine learning models, including propensity models and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
  • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
  • Utilize Advanced Technical Stack: Leverage our 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, to develop robust and scalable AI/ML solutions.
  • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
  • Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions.

Required Skills and 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.
  • Familiarity with using LLMs (OpenAI, Claude, Gemini, Llama), RAG, Agents, Model Fine-tuning, Few-shot prompting, Prompt Engineering.
  • Experience with Python-specific frameworks such as Streamlit, Gradio, FastHTML.

Salary: $180,000 - $220,000 per year.

This role will be remote and based in Colombia. Approximately 15% travel is anticipated to help you connect in-person in a meaningful way.

We prioritize connection and opportunities to build relationships with our customers and each other.

Benefits:

  • Competitive pay
  • Generous time-off
  • Ambitious parental and wellness leave
  • Healthcare
  • Retirement savings program

We empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

We think big, solve problems, take initiative, pitch in when needed, and are always up for trying new things.

We value diversity, equity, and inclusion in all aspects of our business.


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