Overview
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 modelling 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 modelling 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 modelling 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.