Enterprise AI Solutions Architect
18 hours ago
About the Role
Fujitsu is seeking an experienced Data Scientist to join our team as an Enterprise AI Solutions Architect. This role involves designing and implementing innovative AI solutions for our clients, leveraging their business challenges and requirements.
Responsibilities and Accountabilities:
- Collaborate with clients to understand their business needs and develop effective data science and AI strategies.
- Implement advanced analytics and AI solutions using Azure cloud services, ensuring scalability and efficiency.
- Evaluate and optimize enterprise generative AI solutions to improve accuracy and mitigate hallucinations.
- Provide mentorship and guidance to junior data scientists, promoting knowledge sharing and best practices within the organization.
- Contribute to building up the Fujitsu data science practice, capabilities, and offerings by identifying opportunities for growth and improvement.
Required Skills and Qualifications:
- Strong programming skills in Python and SQL, with experience in developing and delivering data science and AI solutions in an enterprise environment.
- Experience in implementing enterprise generative AI solutions, including RAG approaches, prompt engineering techniques, and large language models.
- Knowledge of MLOps and Azure cloud services, with experience in deploying and managing AI solutions at scale.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and clients.
Estimated Salary: $120,000 - $180,000 per annum, depending on experience and qualifications. We offer a competitive compensation package, including benefits, flexible work arrangements, and opportunities for professional growth and development.
Benefits:
- Opportunity to work with a leading technology company, driving innovation and making a meaningful impact in the industry.
- Collaborative and dynamic work environment, with a diverse team of experts and professionals.
- Flexible work arrangements, including remote work options and flexible hours.
- Competitive compensation package, including salary, benefits, and bonuses.
- Opportunities for professional growth and development, including training, mentorship, and career advancement.
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