We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will work closely with our data science and engineering teams to integrate machine learning models into our online platform and scale them to handle large volumes of data. You will be responsible for continuously monitoring and improving the performance of machine learning models using appropriate evaluation metrics and testing methodologies.
Responsibilities: - Collaborate with data science and engineering teams to integrate machine learning models into our online platform. - Scale machine learning models to handle large volumes of data. - Continuously monitor and improve the performance of machine learning models using appropriate evaluation metrics and testing methodologies. - Stay up-to-date with the latest trends and technologies in machine learning, big data, and conversion optimization, and apply this knowledge to our business needs. - Utilize Git and Docker for version control and containerization. - Utilize libraries such as Numpy, Matplotlib, Pandas, Seaborn, Plotly, and Scikit-learn for data analysis and visualization. - Develop and maintain Rest APIs using Flask or FastAPI.
Qualifications: - Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field. - 2+ years of experience in data mining, machine learning, data science, or related fields. - Strong programming skills in Python, including experience with machine learning libraries such as Scikit-learn, PyTorch, Tensorflow, and Keras. - Knowledge of statistics, data analysis, and evaluation metrics. - Experience with various approaches to Financial Models. - Familiarity with SQL for data retrieval and manipulation. - Familiarity with data gathering tools such as requests and Beautifulsoup. - Familiarity with NoSQL databases such as MongoDB. - Fluent in Multiprocessing and Multithreading. - Strong problem-solving and communication skills. - Experience working in a collaborative team environment.
Nice to Have: - Experience with Stock Prediction. - NLP experience.
دیجیپی یک استارتاپ جوان در حوزه پرداخت الکترونیک با مجوز پرداختیاری است که حاصل ادغام استارتاپ هُماپی در هلدینگ دیجیکالا است.
دیجیپی در سال ۱۳۹۷ عضوی از خانواده دیجیکالا شد. هدف گروه دیجیکالا از ورود به حوزه فینتک، ارائه سرویسهای پرداخت الکترونیک با پایداری بالا و بهترین تجربه برای مشتری بود. به دنبال تعریف این هدف، مسیر توسعه سرویسهای دیجیپی مشخص شد.
محصولات شرکت:
-(Smart IPG) درگاه پرداخت هوشمند اینترنتی
-(Refund) بازگشت وجه به مشتری
-(Payout) پرداخت وجه با کیف پول تجاری
-اپلیکیشن موبایل دیجیپی
-(Smart Dashboard) داشبورد هوشمند
-کیف پول خرید اقساطی