You will design and develop ML solutions to complex problems ranging from deploying automation models in a cluster, to ML algorithms which analyze various data sources. You will be working with a team of dynamic engineers, data scientists, and ML researchers who take part in solving complex problems.
What you will do:
Research, prototype, and iterate ML solutions, that can add significant value to our OSS product features
Assist with building and deploying ML models in a production environment
Collaborate with Product, Engineering, and Design teams to build ML solutions
Monitor, refine, optimize and improve the quality of ML solutions
Designing and developing machine learning and statistics functions written in Python
Collaborating with the team to refine strategy and define requirements for projects
Writing software that is used by others
Object-oriented design and implementation
Minimum Qualifications
A bachelor's degree and at least 3 years of professional work experience (or a master's degree in Computer Science, Machine Learning, or related fields) is required.
You are proficient at scientific python, Unix, and a common DL framework (PyTorch, TensorFlow, Keras). Knowledge of CUDA is a plus.
Excellent understanding of machine learning techniques and algorithms, such as Neural Networks, probabilistic modeling, k-NN, Naive Bayes, SVM, Decision Trees, Regression, Clustering models, Time series model, Linear models
Familiarity with Cloud-based environments and Git
Writing and speaking English
معرفی شرکت
آکادمی تکانش با سابقه فعالیت موفق چند ساله در ارائه خدمات نرمافزاری به بازار بینالملل بر آن شد تا تجربیات خود را به علاقمندان این حوزه آموزش داده و زیرساخت و خدمات لازم جهت ورود به بازار کار بینالملل را نیز به ایشان ارائه کند .