Generative Ai Engineer

1 week ago

Singapore IKIGAI ENABLERS PTE. LTD. Full time

**:
**Role Overview**

**Roles and Responsibilities**:

- **Project Leadership**:Lead cross-functional teams to deliver AI projects, ensuring alignment with business objectives. Manage the end-to-end lifecycle of AI solutions, from ideation to deployment. Collaborate with stakeholders, including clients and academia, to understand requirements and provide tailored solutions.
- **MLOps Implementation**:Establish robust MLOps pipelines to streamline model deployment and monitoring. Implement responsible AI frameworks to ensure fairness, transparency, and unbiased decision-making. Optimize AI models for performance, scalability, and reliability.
- **Knowledge Sharing and Mentorship**:Mentor junior team members and foster a collaborative environment.
Conduct workshops and training sessions to promote AI adoption within the organization.

**Skills and Experience Required**:
**Technical Skills**:

- Expertise in Generative AI technologies and tools.
- Proficiency in **NLP**, **MLOps**, and **LLMOps**.
- Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Hugging Face.
- Experience in building conversational AI experiences using tools like Dialogflow.
- Advanced knowledge of machine learning, deep learning, and data engineering.
- Proficiency in cloud platforms, especially Google Cloud, for AI deployments.

**Soft Skills**:

- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Proven ability to lead and work in diverse, cross-functional teams.

**Certifications (preferred)**:

- Google Cloud Certified Professional Data Engineer.
- Certifications in machine learning, deep learning, and MLOps.

**Experience**:

- Proven experience in Generative AI projects and data science roles.
- Hands-on involvement in research projects and publications in AI/NLP.
- Experience working in both industry and academic environments.

**Education**:

- Bachelor’s in Science, Technology, Computer Science or engineering or a related discipline.

**Preferred Qualifications**:

- Publications in top-tier AI and NLP conferences.
- Proven track record in developing AI tools with societal impact.
- Experience in managing large-scale AI projects in a cloud environment.

This role provides a unique opportunity to work at the forefront of AI innovation, shaping impactful solutions that bridge business challenges with technical expertise. If you are passionate about driving the future of AI, we invite you to apply

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