AI engineer-5

Key Responsibilities Model Development & Optimization

Independently design and train robust, reusable AI/ML models using frameworks like Kubeflow, PyTorch, TensorFlow, or HuggingFace.

Apply advanced techniques in deep learning, NLP, computer vision, and classical ML, ensuring models are explainable and scalable.

Optimize models for accuracy, speed, and resource efficiency, and collaborate with Data Engineers on deployment readiness. AI/ML System Design

Translate business use cases into scalable AI model architectures, including design of pre-processing strategies and feature engineering approaches.

Ensure alignment between data characteristics, model architecture, and expected system behavior in production.

Collaborate on integration patterns with Data Engineers to embed AI models in downstream workflows. Documentation & Standards

Write clear documentation on model assumptions, architecture choices, evaluation criteria, and recommended usage.

Contribute to the standardization of model development guidelines within the AI team to ensure reproducibility and traceability.

Stakeholder Collaboration & Delivery

Support scoping and delivery of AI features and enhancements within broader data product initiatives.

Partner with domain experts, business stakeholders, and functional analysts to iterate on model design and results interpretation.

Adapt solutions based on feedback and performance monitoring, ensuring business value is realized.

Innovation & Capability Building

Stay up to date on emerging AI/ML methods, tools, and frameworks, and explore how these can improve our modeling practices.

Share findings and contribute to team learning sessions, playbooks, or prototyping initiatives. Security & Compliance in AI

Design models with appropriate data privacy, access control, and bias mitigation considerations.

Ensure models meet compliance, governance, and interpretability standards relevant to the business context.

Mentoring & Community

Mentor junior AI engineers on modeling approaches, model evaluation, and development best practices.

Contribute to a knowledge-sharing culture across the AI, data science, and engineering teams.

Required Qualifications

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

3–5 years of experience designing and implementing AI/ML models in production.

Strong Python development skills, with deep familiarity with ML/DL libraries (e.g., Kubeflow, PyTorch, TensorFlow, scikit-learn).

Demonstrated success with real-world AI use cases, including agents, vision, or forecasting.

Understanding of model lifecycle, versioning, monitoring, and deployment-readiness (in coordination with MLOps/ML Engineers).

Strong ability to collaborate in cross-functional teams and communicate modeling choices to technical and non-technical audiences.

Preferred Skills

Experience with transformers, embedding techniques, image recognition, or reinforcement learning.

Familiarity with Docker and secure deployments via API's for inference integration.

Understanding of data governance and AI ethics principles.

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

Familiarity with the Cloud, Google Cloud is preferred

Understanding of database technologies (OLTP vs OLAP vs graphs vs blob storage vs ..) and experience working with some of them.

What We Offer

Opportunities to contribute to high-impact AI initiatives in a growing global data organization.

A collaborative culture that values ownership, clarity, and continuous improvement.

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.