DATA & AI ARCHITECT
at MOL GROUP
Budapest, Közép-Magyarország, Hungary -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 18 Jul, 2024 | Not Specified | 19 Apr, 2024 | 8 year(s) or above | Analytical Skills,Information Systems,Communication Skills,English,Computer Science,Management Skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Are you experienced in designing and developing end-to-end AI and Data solutions and being involved in evaluating, testing and proposing appropriate tools and processes for building and deploying MLOps, LLMOps, and DevOps solutions on Microsoft Azure or SAP?
Are you ready to define and review technical requirements and collaborate with data engineers, scientists, and business analysts?
Are you interested in conducting research on AI and cloud technologies, and mentor and coach developers in these areas?
Then your place is here with us within MOL IT&Digital GBS HU Kft. as a Data & AI architect in Budapest, MOL Campus.
MAIN REQUIREMENTS:
- Bachelor’s or master’s degree in Computer Science, Information Systems, or related field.
- 8+ years’ experience in Solution Design of BI/DW, Data Lake systems, AI CI/CD as Data Architect/Enterprise Data Architect or similar role.
- Self-dependence, detail and result oriented personality
- Structured thinking and analytical skills
- Project and people management skills
- Verbal and written communication skills both in Hungarian and English
Responsibilities:
- Lead the detailed technical design of end-to-end AI and Data solutions, based on hands-on experience with data, advanced analytics and generative AI solution developments and deliveries preferably on Microsoft Azure stack or SAP
- Evaluate, test, and propose the appropriate tools, processes for building and deploying end-to-end MLOps, LLMOps and DevOps solutions on Microsoft Azure stack or SAP
- Define and review the technical requirements, specifications, and architecture diagrams for AI (ML and LLM/generative AI) solutions
- Collaborate with data engineers, data scientists, and business analysts to understand the data sources, models, and expected outcomes of AI and Data projects
- Develop and test scalable and reliable data lineage solution
- Provide guidance and support to the development team and stakeholders on the use and maintenance of AI solutions
- Communicate and present the complex technical concepts and benefits of AI solutions to internal, external, technical and non-technical audiences
- Propose performance, security, and quality optimization for existing AI solutions
- Conduct research, write technology studies and stay updated on the latest trends, innovations, and best practices in AI and cloud technologies
- Mentor and coach developers on AI and cloud technologies and methodologies
- Collaborate with cross-functional teams to meet project milestones and deadlines
REQUIREMENT SUMMARY
Min:8.0Max:13.0 year(s)
Information Technology/IT
IT Software - Other
Information Technology
Graduate
Computer Science, Information Systems
Proficient
1
Budapest, Hungary