• Data & AI Architect

Industry IT
Location Singapore Singapore
Experience Range 5 - 10 Years
Expired

Job Description
About Us
We are a top 8 global IT services company with operations in 50+ countries. We offer an advanced portfolio of application, business process, cloud, and infrastructure services to businesses and governments worldwide. Our roots cross continents and cultures, dating back five decades. We've grown organically and decisively by acquiring some of the best IT services providers across the globe. This pedigree yields a characteristic special to NTT DATA: The opportunity of a global brand with the creative energy of a start-up. As a Global IT Innovator, innovation is at the heart of what we do. Innovation that makes an impact and improves business performance. Innovation that improves our clients' bottom lines. We're looking for innovators to join our team. NTT DATA Singapore PTE Ltd is a wholly owned subsidiary of NTT DATA Corp, a part of NTT Group, the world’s 65th Largest Company according to Fortune Magazine. The Singapore entity of NTT DATA is an S10 government-registered supplier and forms the core of NTT DATA’s APAC operations and is positioned as a gateway of our global capabilities in Singapore and APAC region.
Roles and Responsibility

 Duties and Responsibilities:

                             The Technical Manager will be leading a team of tech lead, data engineers, BI developers, data scientist and machine learning (ML) developers. The Technical Manager shall be the Subject Matter Expert that would be able to envision, articulate/design, build, deploy and operationalise Big Data + AI / ML solutions, and he/she will be accountable for the overall technology strategy.

                             In this role, the technical manager will be responsible for detailed solution design and technical accelerators such as Proof of Value (POV)/Proof of Concept (POC) projects. He/She will direct technical resources from the team to design and scale cohesive solutions.

                             The technical manager will also work closely with the Sales team to close deals, supporting the team through the full sales process of solutions engineering and presentation, standard and/or customised solutions demonstration, customer workshop, development of proposals and work with the sales team to address RFI/RFP-related queries from customers. In addition, he/she will act as a consultant to the delivery team for development and deployment of solutions so as to ensure smooth transition from post-sales implementation to Go-live stage.  

 

Key Skills and Experience:

                             Expert level skills in big data technologies like Cloudera Hadoop, SQL Big Data Cluster, HDFS, components of Hadoop like Sqoop/ Hive/ Pig/ Ranger & Spark.

                             Understanding of Cloud technologies for Big Data.

                             Able to create POC projects with limited tools in short time to showcase the intended solution for the client.

                             Have good understanding and hands on for ML development, and possess experience in AI/ML integration to the overall IT infrastructure.

                             Experienced level skills with Design Thinking, Agile and MLOps method.

                             Able to conduct research and development in Computer Vision, Speech Recognition, Natural Language Processing and other related fields.

                             Ability to drive workshop with customer during pre-sales and in-project stages.

                             Able to design and review data architecture, and to create and/or improve algorithm/model performance.

                             Ability to work collaboratively and productively with team.

                             Ability to manage ambiguity, yet producing tangible results.

                             Ability to effectively manage challenging situations without loss of focus when under pressure.

 

Technical and Professional Expertise

                             At least 5+ years of relevant industry experience in architecting and solutioning Big Data + AI/ML technologies.

                             Preferably possess a master’s degree in Computer Science, Data Science, Artificial Intelligence or related discipline.

                             At least completed 3 Big Data + AI/ML projects.

                             At least one major Cloud Certification.

                             Proficiency in at least 1 or more languages such as: R, Python, SPSS.

                             Proficiency in at least 1 or more BI tools such as: PowerBI, Tableau, Qlik.

                             Knowledge of various software technologies, methodologies and applied software engineering practices/standards.

                             Manage critical client impacting events related to solution and engage with delivery, transition etc

 

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