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Job Description
Responsibilities
- Lead, mentor & advise the AI team members.
- Identify the most effective architectures and models to solve complex data problems.
- Work with multiple stakeholders to deliver automated workflows in a timely fashion.
- Define new techniques and best practices.
- Document process, procedures, and training materials for staff and stakeholders.
- Attend daily stand-up and periodic team meetings.
- Analyze results for robustness, validity, and out of sample stability.
- Perform statistical analysis and fine-tuning using test results.state-of-the-art techniques.
Job Requirements
Requirements
- Bachelor Degree in Statistics, Computer Science, or in an Engineering or Sciences discipline or related degree
- At least 4 years experience in analytics, data science, ML Engineering, or software engineering.
- At least 2 year of experience leading, mentoring, and developing either Machine Learning, Data Science, or Analytics practitioners.
- Strong understanding of Supervised machine learning techniques and algorithms,such as k-NN, Naive Bayes, SVM, Decision Forests, Logistic Regression.
- Strong understanding of Unsupervised machine learning techniques and algorithms, such as K-means, DBSCAN, OPTICS, GMM and spectral clustering with the ability to evaluate models using different techniques.
- A good knowledge of using Reinforcement Learning algorithms like Q-Learning and Deep Q-learning, SARSA and montcarlo methods.
- Solid understanding of Deep learning techniques and algorithms.
- Have a good knowledge of dealing with NLP.
- Strong understanding of Statistics and Probability.
- Data Visualization, Info-Graphics, Excel, pandas, Seaborn.
- Understanding of distributed systems, Multi-GPU processing and concurrent programming.
- Selecting features, building, and optimizing classifiers using machine/deep learning techniques using state-of-the-art techniques.
- Extensive Python experience required.
- Familiarity with Linux/UNIX operating systems, including command-line.
- Experience with Agile tools, Jira & TFS.
- Able to communicate technical issues with technical & non-technical stakeholders.
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