Senior AI/ML Engineer
Aivar Innovations (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, design, and deployment of scalable AI/ML solutions on cloud platforms (AWS, GCP, Azure).
- Drive advanced solution development in NLP, computer vision, generative AI, and predictive analytics including model optimization and feature engineering.
- Mentor junior engineers and lead cross-functional collaboration to deliver high-impact AI products and ensure best practices in AI governance and MLOps.
Minimum Requirements
- 5+ years of professional experience in AI/ML, data science, or similar domain.
- Proficient in Python and ML/DL frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras.
- Experience with cloud ML deployment platforms such as AWS SageMaker or Google VertexAI.
- Strong skills in MLOps/DevOps (Docker, Kubernetes, CI/CD, MLflow, DVC) and data engineering (ETL, batch & streaming, SQL/NoSQL).
Ideal Candidate Profile
- Experienced in leading large-scale AI/ML project delivery with end-to-end ownership from design to deployment.
- Strong background in enterprise AI product development and digital transformation initiatives.
- Comfortable operating in cloud-native environments and introducing cutting-edge AI frameworks and MLOps solutions.