Principal AI Engineer

Key Responsibilities

Model Development & Optimization

Lead the independent design, training, and validation of highly robust, reusable AI / ML models, leveraging and defining best practices for frameworks like Kubeflow, PyTorch, TensorFlow, or HuggingFace.

Champion and apply advanced techniques in deep learning, NLP, computer vision, and classical ML, ensuring models are inherently explainable, scalable, and highly performant.

Define strategies for and oversee the optimization of models for accuracy, speed, and resource efficiency, providing technical leadership and guidance to ML Data Engineers on deployment readiness.

AI / ML System Design

Architect complex and resilient AI model systems, effectively translating intricate business use cases into scalable architectures, including defining advanced pre-processing strategies and innovative feature engineering approaches.

Drive the architectural vision, ensuring deep alignment between data characteristics, model architecture, and expected system behavior in large-scale production environments.

Lead the collaboration with ML Data Engineers to establish and standardize robust integration patterns for embedding AI models into critical downstream workflows.

Documentation & Standards

Establish, enforce, and maintain comprehensive documentation standards for model assumptions, architecture choices, rigorous evaluation criteria, and recommended usage across the team.

Lead the standardization of model development guidelines within the AI team, promoting best practices for reproducibility, traceability, and maintainability across the organization.

Stakeholder Collaboration & Delivery

Drive the end-to-end scoping, planning, and delivery of major AI features and strategic enhancements within broader data product initiatives, ensuring alignment with business objectives.

Serve as a primary technical liaison and trusted advisor, proactively partnering with domain experts, business stakeholders, and functional analysts to iterate on model design, interpret complex results, and influence strategic decisions.

Proactively identify opportunities for adaptation and enhancement based on feedback and performance monitoring, ensuring maximum realization of business value.

Innovation & Capability Building

Spearhead research, evaluation, and adoption of cutting-edge AI / ML methods, tools, and frameworks, assessing their potential to significantly improve our modeling practices and drive competitive advantage.

Lead knowledge-sharing initiatives, design and facilitate advanced team learning sessions, establish playbooks, and drive prototyping initiatives to continuously advance the team&aposs and organization&aposs capabilities.

Security & Compliance in AI

Champion and ensure the rigorous integration of data privacy, access control, and advanced bias mitigation considerations throughout the model design and development lifecycle.

Establish and enforce adherence to complex compliance, governance, and interpretability standards relevant to the business context, acting as a subject matter expert.

Mentoring & Community

Provide advanced technical mentorship, guidance, and code reviews to junior and mid-level AI engineers, fostering their growth in modeling approaches, model evaluation, and development best practices.

Actively foster and lead a vibrant knowledge-sharing culture across the AI, data science, and engineering teams, contributing significantly to technical communities through presentations, workshops, and thought leadership.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

8+ years of extensive experience designing, architecting, and implementing highly impactful AI / ML models in production environments.

Mastery of Python development skills, with expert-level familiarity and practical application of ML / DL libraries (e.g., Kubeflow, PyTorch, TensorFlow, scikit-learn)

Proven track record of architecting and delivering highly impactful real-world AI solutions across complex use cases, including multi-agent systems, computer vision, natural language processing, and forecasting.

Expert-level understanding and practical application of the full model lifecycle, including advanced MLOps practices, versioning, monitoring, and deployment strategies, often setting best practices for others.

Exceptional leadership, collaboration, and communication skills, with the ability to articulate complex technical concepts to diverse technical and non-technical audiences, influence strategic decisions, and drive consensus across cross-functional teams.

Preferred Skills

Deep expertise with transformers, advanced embedding techniques, image recognition, or reinforcement learning.

Extensive experience with Docker and designing secure deployments via APIs for seamless inference integration.

Advanced understanding of data governance and AI ethics principles, with a focus on practical implementation.

Ability to effectively lead and collaborate across highly distributed teams (Europe, US, and India)

Extensive familiarity with Cloud platforms, with Google Cloud preferred.

Expert understanding of various database technologies (OLTP vs OLAP vs graphs vs blob storage vs ..) and extensive experience working with several of them.

What We Offer

Opportunities to lead and shape high-impact AI initiatives within a rapidly growing global data organization.

A learning-focused environment that champions technical leadership, mentorship, and breakthrough innovation within vibrant technical communities and innovation labs.

A collaborative culture that empowers senior engineers to drive ownership, foster clarity, and continuously elevate standards

A unique opportunity to lead the development and deployment of cutting-edge AI solutions with significant impact.

A collaborative, intellectually stimulating, and innovative work environment in Waregem, Flanders, Belgium.

Opportunities for continuous learning, professional growth, and leadership development in the rapidly evolving field of AI.

A competitive salary and comprehensive benefits package.

The chance to shape the future of AI within the organization and mentor the next generation of AI engineers.

What's In It For You

A family atmosphere , people-centric culture, where your emotional and physical well-being matters.

A company of great colleagues with a global mindset, where you feel welcomed from day one.

A competitive salary , medical insurance for family , retirement benefits

Healthy work – life balance

Internal career opportunities, professional development, including access to LinkedIn Learning and many in-house / external training courses

Job security working for a global company with strong presence & commitment in India.

PEOPLE ARE AT OUR HEART

TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.

About Tvh

• TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.

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Skills Required

Tensorflow, Pytorch, Docker, Data Governance, Python