AI and Data Science Team Lead

3 days ago

Islamabad, Islamabad, Pakistan VisionX Technologies, Inc. Full time

About Our Approach:

We believe in delivering client value through our work. Our global network of industry experts and mentors helps shape your growth and future.

Our team builds products that are outstanding, not just good or great.

Your Role:

As a Senior ML Engineer, you will contribute 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 achieve excellence.

Key Responsibilities:

  1. Develop and maintain scalable software solutions using classical Machine Learning and Data Science techniques to enhance our data analytics platform's reporting and analytics capabilities.
  2. Collaborate with cross-functional teams to ensure seamless integration of Machine Learning services, systems, and dashboards.
  3. Maintain coding best practices – Unit testing, design/code reviews, code coverage, documentation, etc.
  4. Identify and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  5. Design analytics tools that leverage the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics.
  6. Respond quickly to bug fixes and enhancement requests, taking directions and completing tasks on-time with minimal supervision.
  7. Work closely with data scientists to implement their data models.

Requirements:

  1. Proven experience with Traditional ML, DS, NLP, and Gen AI.
  2. Master the fundamentals of machine learning algorithms to drive data-driven decisions.
  3. Leverage advanced statistical models to uncover hidden insights and patterns.
  4. Apply unsupervised learning techniques to explore and cluster complex datasets.
  5. Implement robust machine learning solutions using state-of-the-art frameworks.
  6. Harness the power of big data technologies to process and analyze massive datasets.
  7. Transform and visualize data to create compelling, actionable insights.
  8. Deploy scalable ML solutions on leading cloud platforms for enhanced performance.
  9. Integrate ML operations to streamline the deployment and management of machine learning models.
  10. Apply deep learning methodologies to solve intricate and high-dimensional problems.
  11. Utilize Python's versatility and libraries to build and deploy efficient ML applications.
  12. Proficiency with NLP and ML packages and frameworks such as spaCy, NLTK, SciPy, etc.
  13. Understanding of text processing and feature extraction, text embedding, text classification, and sequence-to-sequence models.
  14. Proficiency with a deep learning framework such as TensorFlow, Keras, or PyTorch.
  15. Proficiency with Python language required.
  16. Expertise in visualizing and manipulating big datasets (pulling from AWS, GCP, etc).
  17. Experience with data noise removal, data augmentation, dataset truthing, and construction.
  18. Familiarity with Linux.
  19. Proficiency with languages like JavaScript and SQL a plus.
  20. Excellent interpersonal, communication, and organizational skills required. Excellent analytical and troubleshooting skills necessary.
  21. Strong written communication skills preferred.

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