Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via email10years
Not Disclosed
Salary Not Disclosed
1 Vacancy
ACG2925JOB
Our client is a leading company specialized in technology who is looking for a qualified candidate to join their firm.
Lead technical sales engagements and collaborate with enterprise clients to develop effective Data and AI strategies as well as to identify and build practical use cases.
Design and architect advanced data platforms including data lakes warehouses pipelines delta lakes streaming solutions and analytics systems leveraging technologies such as Spark Flink Kafka Databricks and Snowflake implemented on cloud environments like AWS Azure or GCP.
Establish and enforce data governance policies data quality frameworks and compliance protocols to maintain secure well-managed data assets aligned with DAMA-DMBOK best practices.
Architect and develop MLOps and LLMOps pipelines to enable scalable management of AI/ML model lifecycles.
Support pre-sales activities by creating solution assets such as reference architectures demonstrations and cost estimations while contributing to go-to-market strategies.
Manage and guide cross-functional technical teams to guarantee the effective delivery of reliable scalable and secure solutions.
Open to traveling to client locations up to 25% of the time as necessary.
Requirements
Have a degree in Computer Science Engineering Mathematics or a related discipline or possess equivalent professional experience.
Possess a total of 10 to 12 years of professional experience in Data & AI domains with a minimum of 4 years dedicated to AI/ML including recent exposure to Generative AI and Large Language Models (GenAI/LLM).
Accumulate over 5 years of experience in data governance data engineering and the development of data platforms.
Demonstrate hands-on experience with Generative AI technologies such as MCP A2A Langgraph LlamaIndex Pydantic AI and OpenAI APIs and SDKs.
Exhibit proven proficiency in an object-oriented programming language including but not limited to Python or Go.
Demonstrate a solid understanding of core Computer Science principles including data structures and algorithms.
Exhibit a strong problem-solving orientation complemented by a collaborative and transparent working style.
Maintain fluency and proficiency in the English language.
Capable of working collaboratively and efficiently within global cross-functional teams.
Contact: Thao Phan
Due to the immense number of applications only shortlisted candidates will be contacted.
Full Time