We’re looking for a senior machine learning engineer who will perform research and develop artificial intelligence and machine learning systems for use in the e-commerce and entertainment domain.

Expected Salary:

Gross $3000-$5000/month, depending on experience.

Duties and Responsibilities:

• Developing, training and monitoring deep learning models to improve various
• Machinetutors products Providing end-to-end machine learning solutions from gathering data to deploying the models in a live environment
• Monitoring machine learning models and participating in MLOps workflows
• Delivering high-quality software design, documentation and implementation
• Staying current with developments in the field
• Minimum and Preferred Qualifications and Experience:
• M.S. degree in Electrical/Computer Engineering/Computer Science, (advanced degree preferred)
• 3+ years of professional experience in artificial intelligence, machine learning and/or deep learning.
• Experience with mainstream machine learning frameworks
• Experience with various data science libraries
• Hands-on experience with large datasets (e.g. ImageNet) and deep models (e.g. Resnet50) and/or object detection, image segmentation and/or experience solving problems such as regression, classification, clustering, dimensionality reduction, structured output and anomaly detection.
• Experience with databases and their tools (At least a basic knowledge of SQL).
• Passion for writing great, simple, clean, efficient code
• Strong analytical and problem-solving skills
• Good command of written and spoken English
• Focused on delivery and customer first
• Willing to search, learn and adapt new technologies to projects

Tech Skills:

• Languages: Python
• Frameworks: PyTorch, TensorFlow, Keras
• Libraries: Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly, SciPy, Flask. Knowledge of any NLP library is a plus (Gensim, Spacy, NLTK, etc.)
• Databases: MySQL, PostgreSQL, MongoDB
• Version control: GIT
• Container knowledge is a plus: Docker, Kubernetes
• Cloud development knowledge is a plus: Azure, AWS