
Machine Learning Expert
2 days ago
About the Role:
We are seeking a highly skilled Senior Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for developing and implementing cutting-edge machine learning solutions.
Key Responsibilities:
- Design and develop scalable, efficient, and high-performance software using classical machine learning and data science techniques.
- Build out frameworks and services for our machine learning services, systems, and dashboards.
- Collaborate with business users, other development, and testing teams to ensure seamless integration.
- Foster a culture of excellence by following coding best practices - unit testing, design/code reviews, code coverage, documentation, etc.
- Identify and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Requirements:
- Solid experience with traditional machine learning, data science, NLP, and generative AI.
- Master the fundamentals of machine learning algorithms to drive data-driven decisions.
- Leverage advanced statistical models to uncover hidden insights and patterns.
- Utilize unsupervised learning techniques to explore and cluster complex datasets.
- Implement robust machine learning solutions using state-of-the-art frameworks.
- Harness the power of big data technologies to process and analyze massive datasets.
- Transform and visualize data to create compelling, actionable insights.
- Deploy scalable ML solutions on leading cloud platforms for enhanced performance.
- Integrate ML operations to streamline the deployment and management of machine learning models.
- Apply deep learning methodologies to solve intricate and high-dimensional problems.
- Utilize Python's versatility and libraries to build and deploy efficient ML applications.
- Experience working with NLP and ML packages and frameworks such as spaCy, NLTK, SciPy, etc.
- Understanding of text processing and feature extraction, text embedding, text classification, and sequence-to-sequence models.
- Proficiency with a deep learning framework such as TensorFlow, Keras, or PyTorch.
- Proficiency with Python language is required.
- Expertise in visualizing and manipulating big datasets (pulling from AWS, GCP, etc).
- Experience with data noise removal, data augmentation, dataset truthing, and construction.
- Familiarity with Linux.
- Proficiency with languages like JavaScript and SQL is a plus.
- Excellent interpersonal, communication and organizational skills are required. Excellent analytical and troubleshooting skills are necessary.
- Strong written communication skills are preferred.
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