Data Scientist Lead

5 days ago

Islamabad, Islamabad, Pakistan VisionX Technologies, Inc. Full time
About VisionX Technologies, Inc.
VisionX partners with leading global brands and Fortune 1000 companies as their innovation partner, delivering product strategy and custom application development leveraging agile methodologies, technology accelerators, and creating Intellectual Property.

Ranked among the Top 10 Most Innovative Companies of 2020 by Fast Company – alongside Microsoft & Snap Inc., VisionX has been driving innovation in software product development integrating computer vision, 3D modeling, AR, VR, decision sciences, and IoT across various industries.

Senior ML Engineer Role:
You will contribute to VisionX's portfolio creation and improvement as a Senior ML Engineer. To excel in this role, you need exceptional programming skills and knowledge of data science, big data, and software engineering principles.

Main Responsibilities:
  • Develop scalable, efficient, and high-performance software using classical Machine Learning and Data Science techniques to enhance our data analytics platform and expand its reporting and analytics capabilities.
  • Build frameworks and services for our Machine Learning services, systems, and dashboards.
  • Interact with business users, other development, and testing teams.
  • Adhere to coding best practices – unit testing, design/code reviews, code coverage, documentation, etc.
  • Identify, design, 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.
  • Respond promptly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
  • Collaborate with and help implement data models created by data scientists.

Required Skills and Qualifications:
  • 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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