VP - AI Models - Developer
Bengaluru, Karnataka, India
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Min Experience: 9 years
Location: Bangalore
JobType: full-time
We are seeking a highly experienced and innovative Vice President – AI Models Developer to lead the design, development, and deployment of cutting-edge AI models that drive strategic business outcomes. As a senior leader within our technology team, you will own the end-to-end lifecycle of advanced AI models—from data ingestion and preprocessing to experimentation, optimization, and production deployment. This is a highly hands-on and technical leadership role for someone passionate about AI, with a strong background in machine learning algorithms, model architecture design, and scalable model deployment.
You will collaborate closely with cross-functional teams including Product, Data Engineering, and Infrastructure, and will be expected to mentor and guide a high-performing team of AI scientists and engineers. The ideal candidate is a self-starter who thrives in a fast-paced, high-impact environment and has a proven track record of delivering sophisticated AI/ML solutions in production.
Requirements
Key Responsibilities:
- Lead the development and deployment of machine learning and deep learning models for complex business problems.
- Drive AI/ML strategy and roadmap aligned with overall business objectives.
- Design scalable and robust model architectures using state-of-the-art AI techniques (e.g., transformers, LLMs, generative models, reinforcement learning, etc.).
- Work closely with Data Engineering teams to ensure high-quality, reliable datasets for training and inference.
- Establish and enforce best practices for model lifecycle management including version control, reproducibility, explainability, and performance monitoring.
- Collaborate with cross-functional stakeholders to define use cases, model goals, KPIs, and success metrics.
- Stay updated with the latest research and integrate relevant findings into model development workflows.
- Mentor and develop a team of AI developers and research engineers to deliver high-quality work at scale.
Required Skills and Experience:
- 9+ years of experience in AI/ML development, with a proven record of building and deploying models at scale.
- Strong programming skills in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, HuggingFace, etc.
- In-depth knowledge of machine learning algorithms, deep learning architectures, and model optimization techniques.
- Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices for model training, deployment, and monitoring.
- Expertise in working with large datasets and data preprocessing pipelines.
- Experience building production-grade models in NLP, Computer Vision, Generative AI, or Recommendation Systems.
- Excellent problem-solving and communication skills with the ability to translate business needs into technical solutions.
- Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or related field preferred.
Nice to Have:
- Experience working with LLMs and generative AI models.
- Contributions to research papers or open-source ML tools.
- Background in distributed training and model parallelism.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science Computer Vision Deep Learning Engineering GCP Generative AI Generative modeling HuggingFace KPIs LLMs Machine Learning ML models MLOps Model deployment Model training NLP Open Source Pipelines Python PyTorch Reinforcement Learning Research Scikit-learn TensorFlow Transformers
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