Artificial Intelligence/Machine Learning Engineer
4 weeks ago
At Zallery, we are seeking a highly skilled Artificial Intelligence/Machine Learning Engineer to join our team. As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency.
Key Responsibilities:- Develop applications and systems that utilize AI to improve performance and efficiency, including deep learning, neural networks, and NLP.
- Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots.
- Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
- Implement and optimize NLP algorithms and models to improve performance and accuracy.
- Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage.
- Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity.
- Build predictive models, develop advanced algorithms that extract and classify information from large datasets, and quantify model performance.
- Evaluate emerging technologies that may contribute to our analytical platform and identify and exploit new patterns in data using various techniques.
- Work with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK, and information retrieval libraries like Lucene, SOLR.
- Able to engage with customers for solving business problems leveraging Artificial Intelligence and Machine Learning.
- Solid understanding of machine learning algorithms and statistical analysis, including CRFs and SVM.
- Identifying applicability of Machine Learning and Natural Language Processing (NLP) to use cases with ability to project both the business and technology benefits.
- Experience in implementing various NLP algorithms and models.
- Identify ways of embedding and integrating Artificial Intelligence and Machine Learning services into the enterprise architecture seamlessly.
- Keep abreast of new technology innovations in the field of Machine Learning and Natural Language Processing (NLP) and bring them to the table.
- Working experience in any of the NLP application areas, including Semantic Web and Ontologies, Machine Translation, Sentiment Analysis, Document Classification, Question Answer Matching, Text Summarization.
- Have worked with RNN, LSTM, and other deep learning architectures.
- Work experience in creating NLP pipelines for processing large amounts of document corpus.
- Expertise with Python.
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