Responsibilities:

• Basic and applied research of AI algorithms (deep learning, etc.)

• Analysis, proposal, and verification using AI algorithms to solve business issues

• Engineering such as system development using AI algorithms

Responsibilities:

• Solving problems and promoting projects (project management) for client companies using our AI technology

• Development and introduction support of business applications using our AI technology

Responsibilities:

• Planning and proposal of marketing DX to client companies utilizing AI

• Data utilization/CDP development/utilization support

• Data design

• Operation PDCA

• Accompanying DX promotion PMO Data analysis using GA, etc.

Education Requirements:

• Bachelor of Science (BS) in Computer Science, Information Systems, Business, Technology or a Data related field

Experience Requirements:

• 5+ years of IT experience with in Global IT environments including cloud and third-party outsourced components

• 3+ years of experience architecting, engineering, supporting or developing enterprise IT solutions in hosted and cloud environment

Responsibilities:

• Develop and maintain the organization's enterprise architecture, including its business architecture, information architecture, application architecture, and technology architecture.

• Align the enterprise architecture with the organization's business strategy and goals.

• Design and implement new technology and solutions.

• Ensure that the IT infrastructure is scalable, secure, and reliable.

• Work closely with other departments to ensure that all solutions are integrated and interoperable.

Experience Requirements:

• Strong experience in Big data development

• Extensive experience in the automated software and data pipeline development and deployment flow (CI/CD)

• Hands-on experience in data modeling and creating algorithms that turn data into optimal, practical, and valuable information

Responsibilities:

• Design, build, administer and scale data processing pipelines (batch/streaming) from structured/semi-structured/unstructured types of data sources (CSV, JSON, Parquet, tables, Kafka, etc.)

• Improve scalability, stability, accuracy, speed and efficiency of current data systems

• Responsible for design, building, testing and deployment of new libraries, frameworks for core systems with the high standard of quality

• Work with functional analyst, project manager, product owner and other engineers in an agile way (or project base in some cases) on requirements and deliverable

• Ensure SLA and provide the greatest experience for users by collaborating closely with the Data Operations team.

Education Requirements:

• Bachelor's or Master’s degree in information technology, computer science, management information systems, Business Administration or related field

Experience Requirements:

• Proven experience in planning, organizing, developing, building team of Data Governance in large organizations

• Strong knowledge and understanding of data in all layers and structures of the enterprise

Responsibilities:

• Responsible for defining and driving DataX Data Governance Strategy and overall objectives and deliver Data Governance initiatives

• Accountable for championing and promoting awareness and effective use of data

• Accountable for improving knowledge about data as an asset

• Accountable for establishing policies & process frameworks to ensure effective data governance across centralized data hub

• Accountable for embedding, communicating & enforcing data governance policy and processes for centralized data hub

Education Requirements:

• Bachelor’s degree in computer science, engineering, or related field

Experience Requirements:

• 5+ years of hands-on ML engineering in production environments

• Production ML system architecture and implementation

Responsibilities:

• Architect and implement production ML systems at scale

• Lead MLOps infrastructure decisions and establish engineering best practices

• Design robust ML monitoring and observability solutions

• Build and optimize feature stores and model serving platforms

• Mentor team members on ML engineering practices

Education Requirements:

• Bachelor's degree in Computer Science experience, Information Systems or related fields

Experience Requirements:

• 7+ years of project management in a competitive service industry preferably in banking, or financial services

• Prior experience with data related projects or having experience in a data-driven environment and collaboration projects with IT

Responsibilities:

• Accountable for the overall project or multiple workstreams including project plan, objectives, scope, budget, work schedule, design & build, and contractual deliverables, and that it meets with the business requirements

• Collaborate with other development teams, works with the Solution Architect and Data Engineers to create the project plan which defines the work schedule and resource allocation

• Coordinate and facilitate with related parties to support teams to design, develop, test, and maintain on cloud platforms and ensure the project implementation timeline meets with the business needs

Experience Requirements:

• You’ve trained, fine-tuned, or served state-of-the-art deep learning models.

• You’re comfortable digging into ambiguous research problems and turning ideas into prototypes.

• You enjoy playing with large datasets, building data pipelines, and innovating with new model architectures.

Experience Requirements:

• You have experience with container orchestration (e.g., Kubernetes, Docker) and distributed systems.

• You’ve tackled large-scale production challenges—database sharding, queue orchestration, or microservice architecture.

• You’re a systems thinker who loves optimizing at every level of the stack.

Experience Requirements:

• You have a knack for building intuitive UIs and seamless user experiences.

• You blend design thinking with solid engineering skills.

• You enjoy iterating quickly based on real user feedback.

Experience Requirements:

• at least 5-7 years of experience as a Full Stack Developer

Experience Requirements:

• least 3-5 years of experience as a Full Stack Developer

Experience Requirements:

• at least 3-5 years of experience as a Front-end Developer

Experience Requirements:

• at least 5-7 years of experience as a UX / UI Designer

Experience Requirements:

• at least 5-7 years of experience as QA / Software Development Engineer in Test

Experience Requirements:

• at least 5-7 years of experience as DevOps Engineer

Education Requirements:

• BS in CS or Engineering

Experience Requirements:

• 5 years using BI / Analytics solutions

• 4 years in RDBMS and big data tech like Hadoop

• 3 years in Java and Advanced Analytics like Scala/SPSS

• Previous work in industrial IOT and manufacturing

Experience Requirements:

• real-world operations/logistics/supply chain experience

• a strong UI/UX portfolio

Experience Requirements:

• least 3-5 years of experience in Data Engineering