Our client is a prominent player in the energy and commodities trading sector, spanning various domains from oil to renewables and is committed to driving the energy transition. With a significant investment in renewable projects, they leverage their global presence to create value throughout the energy supply chain while focusing on low-carbon opportunities.
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
Ability to relate effortlessly with the commercial side of the business, being a thought leader, and looking for new ways how AI/DS can create value for the firm.
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.
Prioritization of projects based on changing business conditions and a keen eye for where maximum value can be delivered
Collaborating with cross-functional technology teams to gather requirements and ensure the solutions align with business objectives
Helping integrate the team's solutions (including GenAI) 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 team's velocity and quality
Helping build data and machine learning expertise within the business through knowledge sharing
Qualifications:
Master's 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, well-documented code as well as a solid understanding of coding best practices
5-7+ years in the 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 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
Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, such as sentiment analysis, and entity recognition and disambiguation
Desired Experience:
Practical, real world (production) 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 present use cases of machine learning to non-technical colleagues
Time series modelling (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 - in general, in experimental design, and in code!
Willingness to share their 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
Apply Now:
Contact Taiya at Hiperpool, to apply and to find out more.
The compensation for this role is competitive depending on the preferred location and experience.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience, and location.
We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law. If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
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