AI Innovation Specialist

19 hours ago

Singapore beBeeGenerativeAI Full time
Job Title: AI Innovation Specialist

We are seeking a skilled AI Innovation Specialist to develop and implement cutting-edge AI solutions across cloud-native environments. This role combines hands-on technical engineering with strategic leadership, enabling customers to translate AI innovation into scalable products from ideation to MVP and beyond.

  • Main Responsibilities:

  • Design, build, and deploy AI-driven applications using frameworks such as LangChain, OpenAI API, and Hugging Face Transformers.

  • Architect and implement scalable solutions within containerized, microservices-based cloud-native environments (e.g., Kubernetes, OpenShift).

  • Integrate AI models and services seamlessly into existing platforms and services.

  • Collaborate with partner teams on advanced AI solution development.

  • Refactor and modernize legacy systems with 12-factor principles and cloud-native best practices.

  • Drive innovation in AI adoption through internal R&D, PoCs, and pilot programs.

  • Stay ahead of AI trends and apply the latest research into practical applications.

  • Provide expert consultation on AI architecture, deployment strategies, and business use case alignment.

  • Facilitate technical workshops, presentations, and strategic planning sessions with clients.

  • Serve as a trusted technical advisor on AI/ML integration, helping clients unlock value from AI technologies.

Requirements:
  • Key Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.

  • 5 years of software engineering experience, with strong programming skills in Java and Python.

  • Deep expertise in Generative AI frameworks, including LangChain, OpenAI, Hugging Face Transformers.

  • Strong foundation in Natural Language Processing (NLP): tokenization, embeddings, transformers, LLMs.

  • Experience with prompt engineering and optimizing AI model interactions.

  • Proven success designing and deploying cloud-native solutions using Kubernetes, Docker, and microservices.

  • Strong experience with Agile and DevOps practices, working in Jira-based environments.

  • Hands-on experience with MLOps (CI/CD for ML, model versioning, monitoring).

  • Proficiency in data engineering for AI: ETL, feature pipelines, data labeling, quality control.

  • Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG) techniques.

  • Cloud certifications from AWS, Azure, or Google Cloud Platform (GCP).

Benefits:

This role offers the opportunity to work with cutting-edge technologies, collaborate with a talented team, and drive innovation in AI adoption.

The ideal candidate will have a strong passion for AI and technology, excellent communication skills, and the ability to adapt to new challenges.

Seniority Level: Mid-Senior level

Employment Type: Full-time

Job Function: Information Technology

Industries: IT Services and IT Consulting

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