AI Engineer Recommendations

**Key Responsibilities** - Design and optimize **recommendation engines** to personalize the user journey. - Train and deploy **deep learning and NLP models** for search, subtitles, and content discovery. - Integrate AI into product features, from **multilingual subtitle generation to semantic search**. - Build **ad-tech intelligence systems** for smarter targeting and higher ROI. - Develop large-scale, distributed AI pipelines on **AWS/GCP** for production-grade deployment. - Collaborate with product, data, and engineering teams to integrate AI into core user experiences. - Continuously refine models through **A/B testing, feedback loops, and experimentation at scale**. **What Youll Bring** - Proven expertise in **machine learning and deep learning frameworks** (PyTorch, TensorFlow). - Strong understanding of **recommendation systems, personalization algorithms, and collaborative filtering**. - Hands-on experience with **NLP, embeddings, and search relevance models**. - Solid programming skills in **Python, C++/Java**, and comfort with production-grade code. - Experience with **large-scale distributed systems, data pipelines, and cloud platforms** (AWS, GCP). - Familiarity with **big data frameworks** (Spark, Kafka, Flink) and orchestration tools (Airflow, Kubeflow). - Ability to balance research with practical implementation, scaling models to millions of users. - Bonus: exposure to **ad-tech data, user segmentation, or personalization for media platforms**. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.