| Machine Learning Engineer at Austin, Texas, USA |
| Email: [email protected] |
| From: ayush, Scalable Systems [email protected] Reply to: [email protected] Job Description: Machine Learning Engineer Location: Austin, TX / Sunnyvale, CA About the Role: We are seeking a talented Machine Learning Engineer to join our team and contribute to the development of innovative AI solutions. As a Machine Learning Engineer, you will play a pivotal role in designing, building, and deploying machine learning models to solve complex business problems. Responsibilities: Machine Learning Model Development: Develop, train, and deploy machine learning models using advanced techniques such as regression, classification, neural networks, and natural language processing. Time Series Analysis: Leverage your expertise in time series analysis to forecast trends, identify patterns, and make data-driven decisions. Natural Language Processing: Apply NLP techniques to extract meaningful information from text data, including sentiment analysis, text classification, and named entity recognition. Deep Learning: Work with deep learning architectures (DNN, CNN, RNN, LSTM, GAN) to build sophisticated models for various applications. Data Science Toolset: Utilize popular data science libraries and tools such as Pandas, NumPy, SciPy, Scikit-learn, Keras, TensorFlow, and others to efficiently handle and analyze data. Data Exploration and Analysis: Conduct in-depth data exploration to uncover actionable insights and make data-driven recommendations. Product Recommendations: Develop machine learning models to recommend products or services based on user behavior and preferences. Business Metrics: Analyze key performance indicators (KPIs) to measure the effectiveness of machine learning solutions and identify areas for improvement. Qualifications: Experience: Proven experience in machine learning and deep learning, with a strong focus on time series analysis and natural language processing. Technical Skills: Proficiency in Python programming language and familiarity with data science libraries such as Pandas, NumPy, SciPy, Scikit-learn, Keras, TensorFlow, and NLP libraries like Spacy, NLTK, flair, and sklearn-crfsuite. Problem-Solving: Excellent problem-solving and analytical skills to tackle complex challenges and develop innovative solutions. Communication: Strong communication skills, both verbal and written, to effectively collaborate with team members and stakeholders. Passion: A passion for machine learning and a desire to stay up-to-date with the latest advancements in the field. Keywords: Machine Learning Engineer, Data Scientist, Python, Time Series, NLP, Deep Learning, DNN, CNN, RNN, LSTM, GAN, Pandas, NumPy, SciPy, Scikit-learn, Keras, TensorFlow, Spacy, NLTK, flair, sklearn-crfsuite, data exploration, data analysis, product recommendations, business metrics. Keywords: artificial intelligence California Texas Machine Learning Engineer [email protected] |
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| Fri Sep 06 23:10:00 UTC 2024 |