
AI/ML Developer
3 days ago
We are seeking an experienced AI/ML Engineer to join our team.
About the Role:
The successful candidate will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to drive business value.
Key Responsibilities:
- Design and implement 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.
- 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.
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).
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.
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.
Benefits:
- Competitive salary.
- Medical insurance for family.
- Retirement benefits.
- Healthy work-life balance.
Others:
- 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 a strong presence & commitment in India.
Mentorship and 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.
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