AI engineer-2

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

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or a related field.
• 35 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 APIs 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.

WHATS 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.