Senior Machine Learning Engineer | Careers | AvePoint

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

At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you! About the role: We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real-world business challenges. Yo

Relevance is based on skills and concepts — not a guarantee that you qualify.

Covered skills: AI fundamentals Machine learning

Skills to close: None listed

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1. Operational Data Preparation and Pipeline Design

Transform messy operational data into reliable inputs for AI systems through robust pipeline architecture.

2. Model Selection and Deployment Architecture

Choose appropriate AI approaches and design deployment architectures that meet latency, cost, and reliability requirements.

3. Workflow Integration and User Experience Design

Embed AI outputs into existing workflows where users can act on them effectively and provide feedback.

4. Grounding Mechanisms and Reliability Guardrails

Add constraints and verification layers that prevent hallucinations, errors, and out-of-bounds outputs.

5. Evaluation Frameworks and Metrics Design

Measure what matters by designing evaluation systems that track accuracy, business impact, and failure modes.

6. Feedback Collection and Continuous Improvement

Design systems that capture user feedback and operational signals to improve model performance over time.

7. Governance, Documentation, and Stakeholder Communication

Establish processes that make AI systems auditable, maintainable, and understandable to non-technical stakeholders.

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