
Machine Learning Expert Engineer
5 days ago
VisionX Technologies, Inc. is an innovative company that partners with top-tier brands to deliver cutting-edge product strategies and custom application development. Our team leverages agile methodologies, technology accelerators, and creates Intellectual Property to stay ahead in the industry.
We're proud to be ranked among the Top 10 Most Innovative Companies of 2020 by Fast Company – a testament to our commitment to innovation. As we continue to drive innovation in software product development, we're integrating computer vision, 3D modeling, AR, VR, decision sciences, and IoT across various industries.
Job Description:
We're seeking a Senior ML Engineer to join our team. In this role, you'll contribute to the creation and improvement of our portfolio by developing scalable, efficient, and high-performance software using classical Machine Learning and Data Science techniques. You'll work closely with our team to enhance our data analytics platform and expand its reporting and analytics capabilities.
Your Responsibilities:
- Design and implement internal process improvements to automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.
- Develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Collaborate with data scientists to implement data models and develop predictive analytics solutions.
- Stay up-to-date with the latest advancements in machine learning and data science to ensure our solutions remain cutting-edge.
- Work closely with cross-functional teams to ensure seamless integration and deployment of machine learning models.
What We're Looking For:
- Solid experience with traditional ML, DS, NLP, and Gen AI.
- Mastery of machine learning algorithms fundamentals 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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