Machine Learning Engineer
Machine Learning Engineer
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Job Description
As our portfolio of work continues to grow we are looking for an experienced Machine Learning Engineer to join our data science and machine learning team. The individual will work closely with the data and machine learning specialists software engineers and commercial teams to deliver machine learning models and
applications.
We work across the trading business operations and other support functions; so the individual will need to be comfortable working with a variety of stakeholders and technologies.
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project to data collation and processing exploratory analysis model selection and tuning and implementation of production models.
The successful candidate will join a team of experienced collaborative practitioners who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the art of the possible.
Core Responsibilities include:
- Being an energetic and enthusiastic member of a team uniquely positioned to bring the power of data to bear on the inner workings of the energy industry
- Leading design development and deployment of machine learning systems bringing their technical knowledge and experience into the team and using this to create real solutions to real problems.
- Collaborating with crossfunctional technology teams to gather requirements and ensure the solutions align with business objectives
- Helping integrate the teams solutions (including generative AI) into existing systems and platforms to provide seamless user experiences and scale adoption.
- Actively participating in code reviews experiment design and tooling decisions to help drive the teams velocity and quality
- Helping build data and machine learning expertise within the business through knowledge sharing
Qualifications :
- Masters degree in Computer Science Data Science Machine Learning or a related field. Ph.D. is a plus
- Fluency in Python with the ability to write clean modular welldocumented code as well as a solid understanding of coding best practices
- 35 years in industry developing and deploying machine learning models preferably in NLP LLM and ideally generative AI domains
- Experience in successfully applying LLMs to solve business problems solid understanding of Gen AI design paradigms and best practices
- Experience with machine learning frameworks and libraries such as TensorFlow PyTorch or Transformers
- Familiarity with cloud platforms (AWS) and containerization technologies (Docker)
- Excellent problemsolving skills ability to work independently and in a team
- Strong communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
- Understanding of machine learning fundamentals including deep learning generative models NLP techniques such as sentiment analysis and entity recognition and disambiguation.
Additional Information :
What we offer
- Competitive salary and benefits package
- Large diversity of projects with realworld impacts on a truly global scale
- Entrepreneurial environment within a flat hierarchy where great ideas come to life quickly
- Close collaboration with various business units across our key regions (eg. London Singapore Houston Geneva)
- 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 Vitols operations
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
