
Senior Machine Learning Engineer
3 weeks ago
Join to apply for the Senior Machine Learning Engineer role at Ähdus Technology GmbH
Join to apply for the Senior Machine Learning Engineer role at Ähdus Technology GmbH
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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.
- 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.
- Experience with NLP, computer vision, or generative AI models.
- Contributions to open-source ML projects or research publications.
- Seniority levelNot Applicable
- Employment typeFull-time
- Job functionEngineering and Information Technology
- IndustriesIT Services and IT Consulting
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