Data Science Engineer (AI / Machine Learning)

Job Description

Roles & Responsibilities

Responsibilities

• Develop, validate, and deploy Machine Learning, Deep Learning, and Generative AI models for production environments
• Partner with business stakeholders to gather requirements and define project objectives
• Design and implement data pipelines for data preprocessing, model training, evaluation, and deployment
• Perform data validation and support data quality improvement initiatives
• Monitor, maintain, and improve analytical models and data systems
• Prepare reports and presentations to communicate findings and recommendations
• Provide technical documentation and support for deployed solutions
• Perform other tasks as assigned by the supervisor

Requirements

• Bachelors degree in Computer Science, Data Science, Engineering, or related discipline
• Internship or academic project experience in data analytics or machine learning is an advantage
• Technical Skills:
• Proficiency in Python and common data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras)
• Fundamental understanding of Machine Learning and Deep Learning algorithms
• Working knowledge of SQL and relational databases (e.g., PostgreSQL, Oracle)
• Exposure to Computer Vision or Generative AI applications will be an advantage
• Experience with data visualization tools (e.g., Tableau or similar platforms) is a plus
• Basic understanding of model deployment and production environments
• Familiarity with manufacturing or industrial data will be advantageous

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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