Role Overview
We are seeking an experienced AI Engineer with at least 3 years of expertise in developing, deploying, and optimizing AI/ML solutions. In this role, you will collaborate with product, engineering, and data science teams to design and implement models that enhance recommendations, improve search functionality, optimize delivery operations, and personalize customer experiences.
Key Responsibilities
- Design, build, and deploy machine learning and deep learning models for personalization, recommendation systems, and operational efficiency.
- Partner with data engineers to ensure robust and scalable data pipelines for training and inference.
- Integrate AI solutions into production environments via APIs and cloud platforms.
- Continuously monitor, evaluate, and optimize model performance to ensure accuracy and scalability.
- Stay current with the latest AI/ML advancements and apply them to real-world business challenges.
- Work cross-functionally with product managers, engineers, and analysts to define use cases and deliver measurable impact.
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- 3+ years of hands-on experience in developing and deploying AI/ML models.
- Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of machine learning algorithms, deep learning architectures, NLP, and recommendation systems.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Familiarity with MLOps tools (Docker, Kubernetes, MLflow, or similar) is a strong plus.
- Strong problem-solving skills and ability to turn business needs into AI-driven solutions.
- Excellent communication and collaboration skills.