Machine Learning Architect

5 days ago

Lahore, Punjab, Pakistan beBee Careers Full time
Senior AI Engineer

We are seeking a results-driven Senior Machine Learning Engineer with 5+ years of experience to join our AI/ML team. The ideal candidate will have a strong background in building and deploying ML models, hands-on product development experience, and a solid grasp of ML Ops practices.

The successful candidate will be responsible for designing, developing, and implementing machine learning models and algorithms tailored to real-world business problems. This includes optimizing and scaling ML solutions for deployment in production environments, collaborating closely with data scientists, software engineers, and stakeholders to integrate ML models into existing systems and products.

A key aspect of the role is conducting experiments, performing hyperparameter tuning, and evaluating models to improve performance. Additionally, the engineer will be responsible for monitoring, maintaining, and retraining production models to ensure reliability, efficiency, and scalability. Leadership capabilities and a portfolio of past work are highly valued.

Key Responsibilities:

  • Design, develop, and implement machine learning models and algorithms tailored to real-world business problems.
  • Optimize and scale ML solutions for deployment in production environments.
  • Collaborate closely with data scientists, software engineers, and stakeholders to integrate ML models into existing systems and products.
  • Conduct experiments, perform hyperparameter tuning, and evaluate models to improve performance.
  • Monitor, maintain, and retrain production models to ensure reliability, efficiency, and scalability.
  • Drive best practices in ML Ops, including versioning, CI/CD, testing, and automated model monitoring.
  • Lead or mentor junior team members and contribute to overall AI/ML strategy.

Required Qualifications:

  • 5+ years of experience in machine learning engineering or a related field.
  • Proven experience developing and deploying ML-powered products; having a demo or portfolio is a plus.
  • Proficiency in programming languages such as Python (preferred), R, or Java.
  • Strong understanding of ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
  • Working knowledge of cloud ML platforms such as AWS SageMaker, GCP AI Platform, or Azure ML.
  • Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
  • Experience with data processing and big data technologies like Hadoop and Spark.
  • Strong understanding of MLOps tools and practices for monitoring, deployment, and lifecycle management.

Preferred Skills:

  • Experience with deep learning architectures including CNNs, RNNs, and GANs.
  • Knowledge of natural language processing (NLP) or computer vision.
  • Experience with Docker, Kubernetes, or other containerization and orchestration tools.
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Demonstrated leadership experience or project ownership in past roles.

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