Senior Machine Learning Engineer

2 days ago

Islamabad, Islamabad, Pakistan Ähdus Technology GmbH Full time
Job Title: Senior Machine Learning Engineer

Location: Bahria Town, Phase 7, Rawalpindi

Employment Type: Full-Time

About the Role:

We are seeking a Senior Machine Learning Engineer to join our AI/ML team and lead the development of scalable machine learning solutions across multiple domains. You will be responsible for designing, implementing, and deploying models that drive real-world impact. This role requires strong technical expertise, problem-solving ability, and experience in leading ML projects end-to-end.

Key Responsibilities:
  • Design, build, and deploy advanced machine learning models and pipelines.
  • Work with cross-functional teams to identify business problems that can be solved using ML.
  • Analyze large, complex datasets to derive insights and optimize model performance.
  • Implement scalable data processing architectures using tools like Spark, Airflow, or similar.
  • Continuously evaluate and improve model accuracy, performance, and reliability.
  • Lead and mentor junior ML engineers and contribute to team best practices.
  • Research and apply the latest ML techniques, including deep learning and generative models.
  • Collaborate with software engineers to integrate models into production systems.

Requirements:
  • Bachelor's or Master's in Computer Science, Machine Learning, Statistics, or related field (PhD is a plus).
  • 4+ years of experience in ML engineering, including production-level model deployment.
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
  • Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML services.
  • Solid understanding of data structures, algorithms, and software engineering practices.
  • Experience with version control, CI/CD pipelines, and containerization (Docker/Kubernetes).
  • Excellent problem-solving, communication, and leadership skills.

Nice to Have:
  • Experience with NLP, computer vision, or generative AI models.
  • Contributions to open-source ML projects or research publications.
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