Requirements:
- Bachelors or Masters degree in Computer Science Computer Engineering or a related discipline.
- 4 years of professional experience in software engineering with a strong focus on Al/ML development.
- Strong foundation in machine learning concepts deep learning architectures NLP and computer vision.
- Excellent analytical thinking problem-solving skills and a collaborative team-oriented mindset.
- Strong communication skills with the ability to articulate technical concepts effectively.
- Proficiency in Python and hands-on experience with frameworks such as TensorFlow Keras PyTorch and JAX.
- Experience with Al/ML compiler technologies such as MLIR IREE TensorRT XLA or similar optimization frameworks.
- Familiarity with computer architecture and/or hardware accelerators.
- Familiarity with deploying machine learning solutions on custom accelerators.
- Design and implement MLIR-based compiler passes for lowering optimization and code generation.
- Build domain-specific dialects to represent compute kernels at multiple abstraction levels.
- Develop performance-tuned transformation pipelines targeting vectorization parallelization and memory locality.
Responsibilities:
- Develop implement and validate our efficient Al/ML software framework to support business and product goals.
- Collaborate closely with product managers cross-functional teams and stakeholders to translate requirements into reliable scalable Al solutions.
- Run experiments evaluate model performance and refine solutions through iterative data-driven improvements.
- Stay up to date with emerging research tools and methodologies in Al machine learning deep learning model optimization and compiler technologies.
- Mentor junior engineers fostering a culture of technical excellence learning and collaboration.
- Prepare clear technical documentation and present project insights to internal teams and leadership.
Job Locations:
- Islamabad Lahore & Karachi
Requirements: Bachelors or Masters degree in Computer Science Computer Engineering or a related discipline.4 years of professional experience in software engineering with a strong focus on Al/ML development.Strong foundation in machine learning concepts deep learning architectures NLP and computer v...
Requirements:
- Bachelors or Masters degree in Computer Science Computer Engineering or a related discipline.
- 4 years of professional experience in software engineering with a strong focus on Al/ML development.
- Strong foundation in machine learning concepts deep learning architectures NLP and computer vision.
- Excellent analytical thinking problem-solving skills and a collaborative team-oriented mindset.
- Strong communication skills with the ability to articulate technical concepts effectively.
- Proficiency in Python and hands-on experience with frameworks such as TensorFlow Keras PyTorch and JAX.
- Experience with Al/ML compiler technologies such as MLIR IREE TensorRT XLA or similar optimization frameworks.
- Familiarity with computer architecture and/or hardware accelerators.
- Familiarity with deploying machine learning solutions on custom accelerators.
- Design and implement MLIR-based compiler passes for lowering optimization and code generation.
- Build domain-specific dialects to represent compute kernels at multiple abstraction levels.
- Develop performance-tuned transformation pipelines targeting vectorization parallelization and memory locality.
Responsibilities:
- Develop implement and validate our efficient Al/ML software framework to support business and product goals.
- Collaborate closely with product managers cross-functional teams and stakeholders to translate requirements into reliable scalable Al solutions.
- Run experiments evaluate model performance and refine solutions through iterative data-driven improvements.
- Stay up to date with emerging research tools and methodologies in Al machine learning deep learning model optimization and compiler technologies.
- Mentor junior engineers fostering a culture of technical excellence learning and collaboration.
- Prepare clear technical documentation and present project insights to internal teams and leadership.
Job Locations:
- Islamabad Lahore & Karachi
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