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.

Skills Required
Docker, Tensorflow, Google Cloud, Data Governance, Pytorch, image recognition , Transformers, reinforcement learning, Python