**Company: Sympower Job Description Summary: The Sympower data team is focused on delivering forecasting and optimisation services, self-service data capabilities, and BI dashboards. They collaborate with other Engineering Teams to integrate data within the Sympower software ecosystem. The Machine Engineer role focuses on delivering forecasts and optimisations, designing and implementing scalable machine learning software and data pipelines, and engaging in experimental initiatives. The company offers a competitive compensation package and a commitment to creating an inclusive culture. The role involves implementing machine learning models, conducting experiments, and collaborating with stakeholders. Required skills include experience with building scalable machine learning models, familiar with improving model performance, software engineering mindset, experience with ELT data pipeline development, affinity for working in a fast-paced environment, and good stakeholder communication. Sympower aims to accelerate the global transition to net-zero by balancing supply and demand of electricity through their software platform. They are a certified B Corp and an equal opportunity employer. Job Description: The position The Sympower data team is dedicated to delivering forecasting and optimisation services, self-service data capabilities and business intelligence (BI) dashboards. We collaborate closely with other Engineering Teams to seamlessly integrate data within the broader Sympower software ecosystem. As a Machine Engineer at Sympower, your primary focus will be to deliver insightful forecasts and optimisations to stakeholders, leveraging your comprehensive skill set in machine learning and engineering. The role involves designing and fully implementing scalable, reusable machine learning software, and data pipelines for specific projects. It also entails engaging in innovative, experimental initiatives, and embracing an iterative approach to develop and test new ideas for the benefit of the stakeholders. While we have established foundational machine learning services and a data platform, we are now eagerly seeking a skilled professional to expand and fine-tune our forecasting… and optimisation services. Your role will involve crafting new machine learning products and refining existing ones, ensuring the consistent enhancement and robustness of our capabilities at Sympower. What is in it for you We are committed to creating an inclusive, values-based culture where everyone feels that they belong and has the opportunity to do meaningful work. We offer a market competitive compensation package, including but not limited to: • 30 Days Paid Holiday Leave • 1 Day Paid Wellness Leave • 1 Day Paid Birthday Leave • Paid Maternity and Partner Leave • Pawternity Leave • Mental Health and Wellbeing Support • Remote Office Budget • Internet Allowance • Development Plan & Budget • Stock Appreciation Rights • 2 Days Paid Volunteer Leave Learn about all of our benefits on our careers page. What you will do During your daily job, you will: • Take ownership of implementing production-worthy, scalable machine learning models, with a focus on forecasting and optimisation use cases. • Conduct machine learning experiments to demonstrate the value of forecasting and optimisation models to stakeholders. Conduct machine learning experiments to demonstrate the value of forecasting and optimisation models to stakeholders • Develop batch and streaming machine learning pipelines with the full Databricks stack, with a strong focus on software engineering best practices. You will work with our tech stack: Databricks (AWS), Python, (Py)Spark, Delta Lake, Pulsar, ****Postgres, and Fivetran. Leveraging your effective communication skills, you will collaborate with the Data Product Manager and stakeholders on how the models can bring the most value to Sympower. Your role will involve close collaboration with other members of the data team, predominantly other Machine Learning and Data Engineers and occasionally Analytics Engineers, ensuring end-to-end delivery to the other Sympower teams, the Sympower platform and our customers. What you will need • Experience with building scalable machine learning models • Familiar with methods for improving model performance and designing and evaluating metrics that help evaluate the model performance in a business context • Experience with ELT data pipeline development/big data processing, preferably with Python (Spark). • A software-engineering mindset, approach and skillset. • Familiar with the Lake House concept for data storage. • Experience with git, CI/CD, testing frameworks, and DevOps. • Good stakeholder communication. • Ownership of the projects you work on: navigating discussions with stakeholders and providing your input for the team’s technical and product roadmap. • Affinity for working in a fast-paced/growing scale-up company. You are a fast learner and can adapt quickly to new circumstances. • Fluent in English and other languages are nice to have • Nice to have: • Econometrics/operations research background or relevant experience in trading/optimisation algorithms implementation • Having worked in the energy sector • Showing interest for the domain/context you apply ML to • Experience with MLOps Who we are Sympower is accelerating the global transition towards ‘net-zero’ by helping to build smarter, cleaner renewable energy systems. Using our proprietary software platform, we help balance the supply and demand of electricity across international energy networks. We help businesses, grid operators, asset owners and other energy stakeholders around the world reduce their carbon emissions, integrate more distributed renewable energy resources, and generate new revenue streams by participating in demand-side response services. Learn more about us in this video. In 2022, Sympower became a certified B Corp, which shows the company is meeting high standards of verified performance, accountability, and transparency across 5 impact areas: governance, workers, community, environment, and customers. Sympower is an equal opportunity employer. We encourage a diverse workforce and are committed to creating an inclusive environment for all team members. Your personal data will be processed in accordance with our Privacy Policy. MESSAGE TO RECRUITMENT AGENCIES: support for filling this position is not required, so proposals for recruitment services will not be reviewed or responded to
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
