Machine Learning Engineer

4 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

About the Role:

We are looking for a highly skilled Senior Machine Learning Engineer to join our team. As a key member of our engineering department, you will be responsible for building and maintaining scalable software systems using classical machine learning and data science techniques.

Key Responsibilities:

  1. Develop high-performance software solutions that integrate computer vision, 3D modeling, AR, VR, decision sciences, and IoT technologies.
  2. Collaborate with cross-functional teams to design and implement machine learning frameworks and services.
  3. Interact with business stakeholders to understand their needs and provide data-driven insights.
  4. Design and implement internal process improvements to automate manual tasks, optimize data delivery, and enhance infrastructure scalability.
  5. Build analytics tools that leverage data pipelines to provide actionable insights into customer acquisition, operational efficiency, and other key business metrics.
  6. Respond promptly to bug fixes and enhancement requests while ensuring timely completion of tasks.

Requirements:

  • Proven experience with traditional ML, DS, NLP, and Gen AI techniques.
  • Mastery of machine learning algorithms to drive data-driven decisions.
  • Expertise in leveraging advanced statistical models to uncover hidden insights and patterns.
  • Proficiency in implementing unsupervised learning techniques to explore and cluster complex datasets.
  • Familiarity with state-of-the-art frameworks for robust machine learning solution implementation.
  • Experience working with big data technologies to process and analyze massive datasets.
  • Ability to transform and visualize data to create compelling, actionable insights.
  • Knowledge of cloud platforms and deployment strategies for enhanced performance.
  • Understanding of ML operations to streamline model deployment and management.
  • Skills in deep learning methodologies to solve intricate, high-dimensional problems.
  • Proficiency in Python and popular libraries such as spaCy, NLTK, SciPy, etc.
  • Strong analytical and troubleshooting skills, with excellent communication and organizational abilities.

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