Job Description

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 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.

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.


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Pune ,Maharashtra
Company Website: https://www.tvh.com Job Function: Engineering
Company Industry/
Sector:
Wholesale

What We Offer


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