Position: Senior AI/ML Engineer
Category: Data Science
English level: fluent
Years of experience: 6

Combination of Life Sciences (including Genetics, Bio- and Cheminformatics) and Computer Sciences (including Machine Learning, Data Science, AI). Architecting and implementing solutions from scratch. Proven track of successfully solved complex scientific tasks.

Certifications:
1. Google Cloud Professional Architect
2. Google Cloud Professional Data Engineer
3. AWS Certified Solutions Architect
4. TensorFlow Developer
5. Certified in Python Programming
6. Certified in Java Programming
7. TOEFL Upper-Intermediate
8. Deep Learning Specialization
9. Reinforcement Learning Specialization

Publications in peer-reviewed scientific journals
Worked at Google X
Extensive experience, more than 12 successful projects in Data Science and Machine Learning
AWS, GCP, Python, Java, C++
Presales
Team technical leadership

Some topics:

1. Genetics - Architecting and implementing end-to-end cloud service for genotypic and phenotypic data preprocessing and analysis
2. Cheminformatics - small molecule generation, chemical reactivity prediction, quantum, and molecular mechanics simulations
3. Bioinformatics - affinity prediction, molecular docking, microscope image recognition
4. Computer Vision - semantic segmentation, image classification, video recognition, object detection
5. NLP - text classification, topic summarization, smart chatbots
6. Time series - prediction and classification using Deep Learning
7. Reinforcement Learning - optimization of drug dosage (healthcare)
8. Architecting on-premise and cloud solutions (GCP and AWS)
9. Presales, work breakdown structure (WBS), POC design and implementation
10. Team technical leadership
11. Research leadership
Wanted: new solutions in Life Science. Preferably dealing with genetics.

Examples could be Google Genomics, Human Longevity Inc, ThermoFisher Scientific, etc.