Senior ML Engineer — AI Systems & Deployment

EducationPals; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

AvePoint in Jersey City is seeking a Senior Machine Learning Engineer to join the Data & AI team. You will develop and deploy advanced ML models to solve real-world business challenges and empower data-driven decision making.

Responsibilities include transforming data pipelines, selecting deployment architectures, and embedding AI outputs into user workflows while enforcing governance and reliability. You will drive continuous improvement and collaborate across stakeholders.

Qualifications

• Proven knowledge of AI fundamentals and machine learning concepts.
• Ability to transform messy operational data into reliable inputs for AI systems.
• Experience with designing scalable ML deployment architectures.

Responsibilities

• Transform messy operational data into reliable inputs for AI systems through robust pipeline architecture.
• Choose appropriate AI approaches and design deployment architectures that meet latency, cost, and reliability requirements.
• Embed AI outputs into existing workflows where users can act on them effectively and provide feedback.
• Add constraints and verification layers that prevent hallucinations, errors, and out-of-bounds outputs.
• Measure what matters by designing evaluation systems that track accuracy, business impact, and failure modes.
• Design systems that capture user feedback and operational signals to improve model performance over time.
• Establish processes that make AI systems auditable, maintainable, and understandable to non-technical stakeholders.

Skills

AI fundamentals

Machine learning

Job description

AvePoint in Jersey City is seeking a Senior Machine Learning Engineer to join the Data & AI team. You will develop and deploy advanced ML models to solve real-world business challenges and empower data-driven decision making.

Responsibilities include transforming data pipelines, selecting deployment architectures, and embedding AI outputs into user workflows while enforcing governance and reliability. You will drive continuous improvement and collaborate across stakeholders.