AI and Data Engineering Solutions Designer

4 days ago


Singapore CAPGEMINI SINGAPORE PTE. LTD. Full time

Capgemini Singapore PTE. LTD. is a leading provider of business and technology transformation services, helping organizations accelerate their digital and sustainable growth. We are seeking an experienced AI and Data Engineering Solutions Designer to join our team in Singapore.

The ideal candidate will have at least 10 years of experience in designing scalable AI and ML solutions and expertise in MLOps, including model validation, explainability, and monitoring. Proficiency in programming languages such as Python and SQL, along with hands-on experience in Generative AI solutions and cloud and DevOps tools like Azure DevOps, is also required.

We offer a competitive salary range of SGD 180,000 - SGD 250,000 per annum, depending on experience, plus additional benefits including performance bonuses, medical insurance, and retirement plan contributions.

In this role, you will be responsible for:

  • Architecting and deploying data-driven solutions using advanced machine learning and deep learning frameworks;
  • Conceptualizing and implementing Generative AI solutions tailored to business needs;
  • Developing models for text analytics, language processing, document similarity, and classification using techniques like latent semantic analysis and neural networks;
  • Building recommender systems employing content-based and collaborative filtering approaches;
  • Driving computer vision solutions leveraging Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).

You will work closely with cross-functional teams to translate business requirements into technical solutions and partner with junior data scientists and engineers to foster a culture of continuous learning and innovation.

Key qualifications include:

  • At least 10 years of experience in AI/ML model development and deployment;
  • 3+ years of experience as a Solution Architect, designing scalable AI/ML solutions;
  • Proficiency in supervised and unsupervised machine learning and deep learning algorithms;
  • Expertise in MLOps, including model validation, explainability, and monitoring;
  • Hands-on experience in Generative AI solutions;
  • Technical proficiencies in programming languages such as Python and SQL, and cloud and DevOps tools like Azure DevOps.

Candidates should also possess strong problem-solving skills, collaboration abilities, and enthusiasm for keeping up with the latest advancements in AI and ML. Leadership experience and mentorship qualities are highly valued.

At Capgemini, we strive to create a diverse and inclusive work environment where employees can grow professionally and personally. We offer opportunities for career growth, training, and professional development, as well as a range of benefits, including health insurance, retirement plans, and performance bonuses. Join us in shaping the future of business and technology transformation



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