Senior AI Data Engineer Job at Velvetech

Senior AI Data Engineer

Velvetech

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are looking for a Senior AI Data Engineer to join a high-impact AI product initiative focused on building advanced predictive and inference-driven systems. In this role, you will take ownership of core AI data pipelines, model lifecycle processes, and vector-based memory systems, working with modern ML infrastructure including Vertex AI, vector databases, and deep learning frameworks. You will design and productionize scalable ML solutions, combining feature engineering, model evaluation, and real-time inference services. This is a key role with end-to-end responsibility for model reliability, performance optimization, and governance. This is a fully remote position with flexible working conditions.

Job Responsibility:

Own and develop the biometric extraction model lifecycle (training, validation, deployment)
Design and maintain a vector memory layer using tools such as Milvus or Pinecone
Build and optimize predictive inference services for real-time and batch use cases
Develop and maintain data pipelines for PFM (Personal Financial Management) data preparation
Implement advanced feature engineering frameworks and model evaluation pipelines
Work with Vertex AI for model training, deployment, and orchestration
Manage and integrate heterogeneous data storage systems: InfluxDB (time-series data), PostgreSQL (relational data), Neo4j (graph data)
Develop vector embeddings pipelines and similarity search logic
Implement model governance processes: Drift detection and monitoring, Shadow-mode validation, Performance tracking and reporting
Design and apply optimization policies for inference latency, cost, and accuracy
Collaborate with cross-functional teams (ML, backend, product, infra)

Requirements:

5+ years of experience in Data Engineering / ML Engineering / AI Engineering
Strong programming skills in Python
Hands-on experience with PyTorch (training and deploying deep learning models)
Experience working with Vertex AI or similar ML platforms (GCP preferred)
Proven experience with vector databases (Milvus, Pinecone, or similar)
Strong knowledge of: Feature engineering techniques, Model evaluation and validation frameworks, Predictive inference systems
Experience with multiple database paradigms: Relational (PostgreSQL), Time-series (InfluxDB), Graph (Neo4j)
Solid understanding of embeddings and semantic/vector search systems
Experience implementing model lifecycle management, including: Drift detection, Monitoring, Governance
Strong understanding of scalable system design and performance optimization
Ability to work independently and take ownership of complex systems

What we offer:

FLEXIBLE working conditions
COOPERATIVE environment
Competitive salary
Many CHALLENGING and exciting projects with new opportunities and learning
GROWTH opportunities, skills and competencies improvement, and professional certification
In-company TRAINING (English, Software / DevOps / Project management / Design / Business)

Additional Information:

Job Posted:
May 14, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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