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Data Scientist
2 months ago
Sidetrade is a leading global software company that specializes in transforming the Order-to-Cash process for international enterprises. Our AI-powered SaaS platform digitizes the financial customer journey, empowering Chief Financial Officers (CFOs) to secure and accelerate cash flow generation.
We are recognized as a Leader in Gartner's Magic Quadrant for two consecutive years, and our culture is built on innovation, collaboration, and customer-centricity. Our headquarters are located in Europe and North America, and we have a diverse team of experienced tech professionals who share a deep passion for technology.
Job DescriptionWe are seeking a highly skilled Data Scientist to join our dynamic team. As a Data Scientist at Sidetrade, you will be responsible for designing, developing, and implementing machine learning models to solve complex business problems for large enterprises.
Key Responsibilities:
- Designing and developing machine learning models to solve complex business problems
- Collaborating with data scientists to explore, prepare, and engineer high-quality datasets for model training
- Developing and maintaining robust AI pipelines for efficient model training, deployment, and monitoring
- Analyzing model performance and iterating on algorithms to achieve optimal results
- Staying up-to-date on the latest advancements in AI research and translating them into practical solutions for B2B applications
Requirements:
- 3+ years of experience working as an ML Engineer or Data Scientist
- Significant Python programming experience in relevant open source toolkits like scikit-learn, PyTorch, etc.
- Experience developing software that utilizes Large Language Models
- Experience creating and using advanced machine learning algorithms and statistics: regression, clustering, decision trees, neural networks, etc.
- Experience in MLOps tools such as MetaFlow, Kubeflow, MLflow, Airflow, etc.
- Experienced with RestAPI python frameworks such as Fast API/Flask
- Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc.
- Good grasp of software development lifecycles
- Demonstrated ability to efficiently learn and solve problems in new domains
- Strong analytical and problem-solving skills
Desirable Skills:
- Bachelor's or master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
- Understanding of the Retrieval Augmented Generation architecture and ideally deploying solutions leveraging RAG.
- Experience with LLM fine tuning, and LLM agents
- Experience profiling and optimising code for optimal CPU/GPU, memory and bandwidth usage.
- Experience in Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc.
- Speaking French would be an advantage, but not essential
We offer a comprehensive benefits package, including:
- Comprehensive training and coaching
- Resources and mentorship to empower your growth and success
- Opportunities for professional development and career advancement
- A dynamic and inclusive work environment
- A competitive salary and benefits package
We are an equal opportunity employer and welcome applications from diverse candidates. If you are a motivated and talented Data Scientist looking to join a dynamic team, please apply for this exciting opportunity.
