AI Scientist

Key Skills

Aartificial intelligence, AWS Sagemaker, Bioinformatics, Deep Learning, Effective communication skills, Git, Keras software library, Linux Operating system, Machine learning techniques, MLflow, MLOps tools, Natural Language Processing (NLP), Python Programming, PyTorch, Sales Optimisation, TensorFlow, Unix Operating system

Job Description

As an AI Scientist, you are an important member of a diverse team supporting research in predictive and prescriptive technologies to support novel solutions in agriculture. You are passionate about the idea of using machine learning (ML), deep learning (DL) and artificial intelligence to solve biological problems.

Role Purpose:

• Support senior scientists to modify and apply deep learning models.
• Join cross-functional research teams to deliver the next generation of predictive and prescriptive technologies to support the product pipeline.
• Become an active member of the Bioinformatics group and drive innovation in a rapidly evolving scientific discipline.
• Synthesize results and clearly communicate progress and challenges to project team members.

Accountabilities:

• Data preparation for internal ML/DL projects, including data QC, basic statistical analysis, preprocessing, etc.
• Identification of public data sources for DL based on identified use cases
• Exploration and internal implementation of new model architectures available in the public domain
• Modification of existing DL model architectures to support new use cases
• Evaluation of model performance with new data
• Presentation of results to relevant parties

Qualifications

• MS computer science, genetics, bioinformatics or related area.
• Excellent communication skills and the ability to work in a highly dynamic and collaborative environment.

Technical skills

• Proficiency in the use of UNIX/Linux and its command-line environment
• Experience coding in Python
• Experience with PyTorch, TensorFlow/Keras
• Experience with deep learning model creation, fine-tuning, hyperparameter optimization, and model deployment
• Proficiency in grid computing (e.g. Univa, Slurm, etc.)
• Familiarity working with version control systems (e.g. Git, CVS, SVN,etc)
• Experience with Jupyter notebooks and conda environments
• Preferred but not required:
• Experience with MLOps tools (e.g. MLflow)
• Experience with AWS SageMaker
• Biology knowledge
• Experience building/fine-tuning NLP/transformer-based deep learning models

Additional Information

What We Offer

• A platform with a combination of a booming agricultural industry in China domestic market and global resources and exposure, where you can fully develop your potential
• A culture that promotes Innovation and Entrepreneurial Spirit
• Competitive annual base salary (ABS) and short-term incentive (STI) plans
• Standard social benefits and housing fund package according to Chinese government policies, plus supplementary medical insurance 
• Minimum of 15 days annual leave, and up to 20 days, contingent upon the service years, and 12 days of paid sick leave per year
• Mobility assistance provided from overseas to China