AI & GenAI Data Scientist – Senior Manager
Financial Advisory
United States, Boston - Massachusetts
Published 5 hours ago
Salary: Disclosed upon interview
- Global Companies
- Data Science & Data Engineering
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Data Engineer (Mid/Senior)
Full time - Senior Engineer
IT Hardware & Devices: Personal Computing
Singapore, All Areas
Published 3 weeks ago
Salary: Disclosed upon interview
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Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A global technology organization is seeking a Data Engineer to support AI and machine learning initiatives by building scalable, high-performance data pipelines. The organization provides a collaborative environment for working across global teams and encourages innovation in AI-driven products and services.
Summary
The Data Engineer will design, develop, and manage robust data pipelines and infrastructure for AI and ML applications. This role collaborates closely with AI/ML engineers, data scientists, and platform teams to optimize data workflows for model training, feature engineering, and real-time inference.
Responsibilities
- Lead AI Data Engineering initiatives, designing and developing scalable data pipelines for AI/ML workloads
- Architect and implement data solutions supporting AI model training, including feature stores, vector databases, and real-time streaming pipelines
- Develop high-performance pipelines processing structured, semi-structured, and unstructured data at scale
- Ensure data quality, lineage, security, and compliance for AI applications
- Automate data workflows, integrate with DevOps/MLOps frameworks, and support model reproducibility
- Explore and implement advancements in distributed computing, data mesh architectures, and next-generation storage solutions
- Collaborate with data scientists and AI/ML engineers to optimize feature extraction, data labeling, and real-time inference pipelines
Qualifications
- 3+ years of experience in data engineering, with a focus on AI/ML-driven architectures
- Hands-on experience with Vector/Graph databases such as Neo4j
- Strong programming skills in Python and SQL
- Experience with cloud infrastructure (AWS, Azure, GCP) and tools like Terraform, Docker, Kubernetes
- Proficiency with orchestration tools (Airflow, Prefect), distributed computing frameworks (Spark, Dask), and data transformation tools (DBT)
- Strong experience in batch and streaming data processing, and managing data storage in Data Lakes, Lakehouses, SQL/NoSQL databases
- Knowledge of network infrastructure and event-driven architectures for real-time AI pipelines
- Excellent analytical, problem-solving, and communication skills
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field
- Ability to learn new technologies and adapt to fast-paced, agile environments
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.
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