Competitive salary + benefits pyckage; not specifi...
On-site
Python programming for data science and engineering
End-to-end ml model deployment in production
Experience with pytorch, scikit-learn, and transformers
The role involves designing and deploying end-to-end machine learning solutions across trading, operations, and support functions within a $400 billion energy company
Job Summary
The role involves designing and deploying end-to-end machine learning solutions across trading, operations, and support functions within a $400 billion energy company.
Candidates will drive the adoption of an internal GenAI chat platform, extending its capabilities through new integrations and domain-specific prompt engineering.
Vitol offers a competitive salary, benefits, and an entrepreneurial environment where team members work closely with business units globally to solve impactful problems.
Matching Summary
The role involves designing and deploying end-to-end machine learning solutions across trading, operations, and support functions within a $400 billion energy company.
Salary
Competitive salary and benefits package; Not specified; Not specified
Skills & Requirements
Must-have
Python programming for data science and engineering
End-to-end ML model deployment in production
Experience with PyTorch, scikit-learn, and Transformers
Cloud platform proficiency (AWS preferred)
MLOps practices including Docker and Kubernetes
Time-series forecasting and generative AI applications
Strong communication with non-technical stakeholders
Nice-to-have
Experience in energy or commodities trading industry
Knowledge of financial markets and trading concepts
Interactive tool development using Dash or Streamlit
Econometric modeling approaches like ARIMA
Domain knowledge of global energy flows
Mentoring colleagues and raising team standards
Pragmatic approach to navigating ambiguity
Key Requirements
Master's degree in Computer Science, Statistics, Mathematics, or related field
5+ years of industry experience developing and deploying ML models
Fluency in Python with strong software engineering best practices
In-office work requirement: 5 days per week in Houston, TX