Machine Learning Expert

2 days ago


Islamabad, Islamabad, Pakistan beBee Careers Full time

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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