About The RoleWe’re looking for an Applied AI Specialist who thrives at the intersection of machine learning, software engineering, and product innovation. In this role, you’ll work on translating the latest advances in AI into real, scalable features that make a measurable difference in our products and user experience.You’ll collaborate across data, engineering, and product teams to build intelligent systems that go beyond proof-of-concept and deliver value in production environments.Key responsibilitiesWhat you’ll be doingDesign and implement AI-powered features that enhance user workflows, recommendations, automation, or personalizationEvaluate and adapt state-of-the-art models (e.g., LLMs, vision transformers, embeddings) to solve domain-specific problemsCollaborate with product teams to frame problems, define success metrics, and scope MVPsFine-tune and optimize pre-trained models for task-specific applicationsBuild robust data pipelines to support training and inference at scalePrototype quickly, then harden for deployment with engineering and infrastructure supportMonitor model performance and design experiments to validate assumptionsContribute to responsible AI practices, including fairness, explainability, and safetyRequirementsWhat you’ll need to succeed3+ years of experience in applied machine learning, data science, or AI product developmentStrong programming skills in Python and experience with ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers)Experience deploying ML models into production or integrating them into real-world applicationsSolid understanding of deep learning architectures, embeddings, and transformer modelsAbility to translate business needs into technical approachesFamiliarity with APIs, containers (Docker), and working in cloud environments (AWS, GCP, or Azure)Strong communication and problem-solving skillsPreferred QualificationsThese would be a plusHands-on experience with generative AI, LLM APIs, or vector databases (e.g., Pinecone, Weaviate, FAISS)Background in NLP, computer vision, or multimodal AI systemsExperience with prompt engineering or RAG-based applicationsFamiliarity with evaluation methods for AI models in productionContributions to open-source AI projects or publications in applied AIHow to applyHelp us push the boundaries of intelligent systemsTo Apply, Please SendYour resume or a link to your LinkedIn profileA short statement about your interest in this role and any relevant experienceLinks to projects, code repositories, research, or demos that showcase your applied AI work (optional)We respond to qualified applicants within a few business days. The hiring process typically includes a technical conversation, a small project or case challenge, and final interviews with product and engineering leadership.

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