Machine Learning Engineer

7 days ago

Houston, Texas, United States Vitol Full time

About Vitol

Vitol is a leading energy and commodities company with a strong presence in the global energy market. With a rich history dating back to 1966, Vitol has established itself as a trusted partner for energy traders, industrial companies, and utilities.

Our Business

Vitol's primary business is the trading and distribution of energy products globally. Our team of experts works tirelessly to identify opportunities and create value for our clients. We have a strong focus on innovation and technology, leveraging cutting-edge machine learning and data science techniques to drive business growth.

The Role

We are seeking an experienced Senior Machine Learning Engineer to join our data science and machine learning team. As a key member of our team, you will work closely with our data and machine learning specialists, software engineers, and commercial teams to deliver machine learning models and applications.

Key Responsibilities

  • Design, develop, and deploy machine learning systems to drive business growth and improve operational efficiency.
  • Collaborate with cross-functional teams to gather requirements and ensure solutions align with business objectives.
  • Lead the integration of machine learning systems into existing platforms to provide seamless user experiences and scale adoption.
  • Participate in code reviews, experiment design, and tooling decisions to drive team velocity and quality.
  • Help build data and machine learning expertise within the business through knowledge sharing.

Requirements

  • Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Fluency in Python with a solid understanding of coding best practices.
  • 5-7+ years of industry experience developing and deploying machine learning models, preferably in NLP, LLM, and generative AI domains.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Transformers.
  • Familiarity with cloud platforms (AWS) and containerization technologies (Docker).
  • Excellent problem-solving skills, ability to work independently and in a team.
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Desired Experience

  • Practical, real-world experience with Gen AI-based models and their applications.
  • Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts.
  • Experience integrating machine learning systems into interactive dashboards (e.g., Dash, Streamlit) and presenting use cases of machine learning to non-technical colleagues.
  • Time series modeling (both machine-learning and econometric approaches).
  • Application of a wide range of ML methodologies to real-life applications.
  • Enterprise software development (systems design, code review, version control, etc.).
  • Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines.
  • Awareness of continuous integration and delivery concepts/technologies.

Personal Characteristics

  • A self-motivated individual who thrives on seeing the results of their work make an impact in the business.
  • Strong communication skills, both verbally and in writing.
  • Proven ability to be flexible, work hard, and a sense for the art of the possible.
  • Methodical, organized, and with an attention to detail.
  • Willingness to share knowledge and learn from others.
  • An interest in learning about the commodities space.
  • Resourceful, able to think creatively and adapt in a dynamic environment.
  • Team player, with an open non-political style and a high level of integrity.
  • Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows.

What We Offer

  • Competitive salary and benefits package.
  • Large diversity of projects with real-world impacts on a truly global scale.
  • Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly.
  • Closed collaboration with various business units across our key regions.
  • A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit.
  • Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry.
  • Strong management commitment to incorporating machine learning into the future of Vitol's operations.

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