Senior Machine Learning Engineer
3 weeks ago
**Job Description: Senior Machine Learning Engineer**
**Position Overview:**
We are seeking a highly skilled and experienced Senior Machine Learning Engineer with expertise in sentiment analysis and stock price forecasting. The successful candidate will play a pivotal role in the development of advanced machine learning models for analyzing news articles and forecasting stock prices. Your ability to preprocess data, build predictive models, and deliver actionable insights will be key to this role.
**Responsibilities:**
1. **Sentiment Analysis of News Articles:**
- Design and implement preprocessing pipelines for extracting entities such as Organization/Company, Sector, Industry, Person, and Location from news articles using tools like Spacy, RegEx, and transformers.
- Develop models to predict sentiment labels and scores using FinBERT, RoBERTa, and Gemini, providing rationale for the predicted sentiment.
- Build customized models to identify Sector and Industry using Spacy's transformer model.
2. **Stock Price Forecasting:**
- Preprocess historical stock price data to create clean and informative datasets.
- Develop and implement forecasting models using techniques like tsai PatchTST, PatchTSMixer from IBM Hugging Face, Fast.ai, LSTM, GluonTS DeepAR, DeepNPTS, Temporal Fusion Transformer, MQF, TensorFlow, Keras, and PyTorch.
- Build robust forecasting models to predict stock prices and deliver actionable insights to stakeholders.
3. **General:**
- Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions.
- Keep abreast of the latest developments in machine learning and apply innovative techniques to solve business problems.
- Optimize model performance, scalability, and interpretability for practical applications.
**Qualifications:**
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Extensive experience with sentiment analysis and stock price forecasting models.
- Proficiency with machine learning libraries and tools including Spacy, FinBERT, RoBERTa, HuggingfacePipeline, and transformer-based models.
- Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch, TensorFlow, Keras, and GluonTS.
- Excellent problem-solving skills and the ability to work in a collaborative team environment.
Join our team to harness the power of machine learning for real-world impact and growth
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