Data Analytics Specialist
2 weeks ago
About the Role
Sidetrade is a fast-growing international software company that is transforming the Order-to-Cash process for global enterprises. As a Data Analytics Specialist, you will be part of our dynamic R&D team, dedicated to developing cutting-edge software solutions that drive the transformation of our customers' work processes.
At Sidetrade, you'll be at the forefront of AI and Data Science, collaborating with talented minds to push the boundaries of B2B interactions. Our agile development environment fosters continuous learning and growth, with challenging projects, comprehensive benefits, and professional development opportunities to propel your career.
Key Responsibilities
- Designing, developing, and implementing machine learning models to solve complex business problems for large enterprises.
- 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.
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.
- 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.
Benefits
- Comprehensive training, coaching, resources, and mentorship to empower your growth and success.
- Join our immersive bootcamp and review your onboarding plan with your manager.
- Collaborate with the team and participate in the roadmap to optimize software performance.
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