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Software Architect - ML/AI/Gen AI

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10Pearls

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Location:
Pakistan , Lahore, Karachi, Islamabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Responsibility:

  • Lead the design and architecture of machine learning solutions for complex business problems
  • Collaborate with business stakeholders to understand their requirements and define the overall technical strategy, including model selection, data pre-processing, feature engineering, and model evaluation
  • Design and implement scalable and efficient data pipelines to collect, preprocess, and store large volumes of data for machine learning projects
  • Develop data transformation and feature extraction processes to prepare data for machine learning model training and deployment
  • Lead the development of advanced machine learning models using state-of-the-art algorithms, such as deep learning, reinforcement learning, and other cutting-edge techniques
  • Optimize model performance through hyperparameter tuning, model validation, and feature selection
  • Drive the deployment of machine learning models in production environments, ensuring scalability, reliability, and security
  • Implement monitoring and logging mechanisms to capture and analyze model performance data
  • Make necessary adjustments to ensure optimal performance and accuracy
  • Provide technical leadership and mentorship to a team of data scientists, engineers, and other stakeholders
  • Guide and mentor junior team members, provide technical expertise and advice, and drive innovation in the field of machine learning
  • Stay updated with the latest developments in the field of machine learning and artificial intelligence
  • Identify and evaluate new technologies, tools, and techniques for improving machine learning models and systems
  • Drive innovation and experimentation to push the boundaries of machine learning capabilities
  • Collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements, provide technical guidance, and ensure successful implementation of machine learning solutions
  • Collaborate with business stakeholders to identify new opportunities for leveraging machine learning for business success
  • Create documentation, technical specifications, and reports related to machine learning solutions, including model design, data pipeline architecture, deployment process, and performance metrics
  • Present findings and recommendations to stakeholders in a clear and concise manner

Requirements:

  • Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field
  • 8+ years of relevant experience in machine learning and artificial intelligence
  • Proven experience in designing, developing, and implementing advanced machine learning solutions for complex business problems
  • Strong programming skills in languages such as Python, R, or Java, and deep understanding of machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
  • Extensive experience with machine learning algorithms, including deep learning, reinforcement learning, and other cutting-edge techniques
  • Strong knowledge of data preprocessing, feature engineering, and data visualization techniques
  • Excellent understanding of machine learning model performance metrics and optimization techniques
  • Experience with designing and implementing scalable data pipelines and working with big data technologies
  • Proven experience with deploying machine learning models in production environments, and implementing monitoring and logging mechanisms for performance analysis
  • Strong leadership and mentoring skills, with the ability to provide technical guidance and mentor junior team members
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
  • Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders
  • Proven ability to drive innovation, research new technologies, and push the boundaries of machine learning capabilities
  • Ethical mindset and commitment to ensuring compliance with data privacy, security, and ethical considerations in machine learning projects

Additional Information:

Job Posted:
January 15, 2026

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