
VisionX Technologies AI Expert
3 days ago
About Our Mission:
We are VisionX Technologies, Inc., an innovative partner for Fortune 1000 brands, driving success through strategic product development and intellectual property creation.
Our team of experts develops pioneering software products integrating computer vision, 3D modeling, AR, VR, decision sciences, and IoT addressing various use cases across industries.
Your Role:
As a Senior ML Engineer, you will play a crucial role in contributing to our VisionX portfolio by creating and enhancing our software applications. You will need exceptional programming skills and knowledge of data science, big data, and software engineering to help us grow.
Key Responsibilities:
- Develop scalable software solutions using classical Machine Learning and Data Science techniques to enhance our data analytics platform's reporting and analytics capabilities.
- Create frameworks and services for our Machine Learning services, systems, and dashboards.
- Collaborate with business users, development, and testing teams to ensure seamless integration.
- Maintain 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.
- Design analytics tools that leverage the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics.
- Respond quickly to bug fixes and enhancement requests, taking directions and completing tasks on-time with minimal supervision.
- Work closely with data scientists to implement their data models.
Requirements:
- Proven experience with Traditional ML, DS, NLP, and Gen AI.
- Master the fundamentals of machine learning algorithms to drive data-driven decisions.
- Leverage advanced statistical models to uncover hidden insights and patterns.
- Apply 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.
- Proficiency 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 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 a plus.
- Excellent interpersonal, communication, and organizational skills required. Excellent analytical and troubleshooting skills necessary.
- Strong written communication skills preferred.
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