We are seeking a dedicated AI/ML Engineer to join our team full-time at our Karachi office. This role is ideal for an experienced professional with at least two years of hands-on experience in machine learning and artificial intelligence. The successful candidate will be responsible for developing, evaluating, and deploying machine learning models, ensuring they perform efficiently in production environments. This position requires strong technical skills and a solid understanding of machine learning principles to contribute effectively to our projects.
Key Responsibilities
- Develop and evaluate machine learning models to solve complex problems and improve business outcomes.
- Prepare and preprocess datasets to ensure quality and relevance for model training and testing.
- Build reproducible workflows that streamline model development and deployment processes.
- Integrate machine learning models into existing applications and systems for seamless functionality.
- Monitor the performance of models in production, identifying and addressing any issues promptly to maintain reliability.
Required Qualifications
- Minimum of 2 years of professional experience in AI/ML engineering or a related field.
- Proficiency in Python programming language, with experience using libraries such as scikit-learn, TensorFlow, or PyTorch.
- Strong knowledge of SQL for data querying and manipulation.
- Solid understanding of statistics and fundamental machine learning concepts.
- Ability to work on-site full-time in Karachi.
Preferred Qualifications and Benefits
- While not explicitly stated, candidates with additional experience in deploying models at scale or familiarity with cloud platforms may have an advantage.
- The role offers a competitive salary range of PKR 180,000 to PKR 350,000, reflecting experience and skill level.
This position provides an excellent opportunity to work in a dynamic environment where your expertise in AI and machine learning will directly impact product development and innovation. If you are passionate about applying your skills to real-world challenges and eager to grow within a collaborative team, this role is well-suited for you.