Description

Design and implement machine learning systems and software tools to solve complex business problems, owning the full lifecycle from data collection to deployment.

This role is on-site.

Responsibilities

• Design and build machine learning applications based on specific business requirements.
• Collect, clean, and process large datasets from diverse sources.
• Apply statistical analysis and ML techniques to fine-tune systems and solve problems.
• Run experiments, retrain models, troubleshoot bugs, and verify new deployments.
• Visualize data and present findings to stakeholders using visualization tools.

Required Skills

• 5 to 8 years of professional experience in software or data engineering.
• Proficiency in Python and SQL for development and data manipulation.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data structures, data modelling, and software architecture.
• Deep knowledge of mathematics, probability, statistics, and algorithms.
• Proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib.
• Familiarity with Agile software development methodologies.

Preferred Skills

• Experience using Jupyter notebooks for research collaboration.
• Working knowledge of Docker, Kubernetes, AWS, or GCP.
• Experience with network technologies.

Key Skills

Education

Bachelor's degree