- Company Name
- LITY
- Job Title
- Senior AI Engineer
- Job Description
-
Job title: Senior AI Engineer
Role Summary: Design, develop, and deploy advanced AI models—including vision, NLP, LLMs, audio, and multimodal systems—to support an HR evaluation platform. Optimize models for latency, scalability, and cost while integrating cutting‑edge research advancements.
Expectations: Proven expertise in applied data science and machine learning, strong scientific rigor, ability to scale solutions in production, and continuous learning of state‑of‑the‑art techniques.
Key Responsibilities:
- Architect and implement diverse AI models (vision, NLP, LLM, audio, multimodal) for the platform’s evaluation services.
- Fine‑tune open‑source models and adapt them to specific business scenarios.
- Optimize model inference latency, scalability, and operational costs in a production environment.
- Drive rapid iteration and deployment cycles, ensuring high reliability and performance.
- Stay current with leading research; evaluate and integrate novel algorithms or frameworks that can enhance product capabilities.
- Collaborate with cross‑functional teams to identify use cases and translate business requirements into technical solutions.
- Mentor junior engineers and contribute to a culture of excellence and fast pace.
Required Skills:
- Advanced proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and model serving infrastructures.
- Deep knowledge of modern model architectures (transformers, diffusion, vision‑language models).
- Experience with generative AI across any modality.
- Strong software engineering practices: version control, CI/CD, containerization (Docker/K8s), and cloud deployment.
- Familiarity with performance profiling, quantization, pruning, and other model optimization techniques.
- Ability to design for high‑availability, fault tolerance, and cost‑effective scaling.
- Excellent analytical, problem‑solving, and communication skills.
Required Education & Certifications:
- Master’s degree or higher in Computer Science, Applied Mathematics, Data Science, or a related field.
- Ph.D. in AI/ML preferred; demonstrates strong research background.
- Relevant certifications in machine learning or deep learning (e.g., Google TensorFlow Developer, AWS Machine Learning Specialty) are a plus.