
Senior Artificial Intelligence Engineer
4 weeks ago
Role & responsibilities
- Design and implement scalable AI/ML models for real-world business applications.
- Manage the end-to-end ML model lifecycle: data acquisition, preprocessing, training, validation, deployment, and monitoring.
- Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into products and solutions.
- Continuously optimize models for performance, accuracy, and efficiency.
- Evaluate and adopt emerging AI technologies and research for practical business use.
- Maintain clear documentation to ensure reproducibility and knowledge sharing.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
Preferred candidate profile
- Education: Bachelors/Master's in Computer Science, Data Science, Engineering, or related field (PhD preferred).
- Experience: Minimum 3+ years in AI/ML development with proven track record of deploying models in production.
- Technical Skills:
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Strong knowledge of machine learning algorithms, deep learning, NLP, or computer vision.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps/CI-CD pipelines.
- Mindset & Approach:
- Strong problem-solving and analytical skills.
- Passion for innovation and exploring emerging AI technologies.
- Ability to balance research with real-world application.
- Collaboration & Leadership:
- Effective communicator, able to work across cross-functional teams.
- Experience mentoring junior engineers and contributing to team growth.
- Contributions to open-source AI/ML projects or publications are a plus.
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