Senior AI / ML Engineer
SeQuere Technologies (company site, opens in a new tab)5+ yrsChandigarhOn-siteDirect career pageEst. 12–20 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, train, and deploy end-to-end production-grade ML models and pipelines covering data ingestion to model serving.
- Fine-tune and deploy large language models tailored for enterprise-scale use cases.
- Mentor junior engineers and collaborate cross-functionally to develop AI-powered features and improve model performance.
Minimum Requirements
- 5+ years of professional ML/AI engineering experience.
- Strong proficiency in Python and experience with PyTorch or TensorFlow.
- Experience with large language model (LLM) fine-tuning, retrieval augmented generation (RAG) architectures, or agent frameworks.
- Familiarity with MLOps tools such as MLflow, Weights & Biases (W&B), or Kubeflow.
Ideal Candidate Profile
- Candidate experienced in deploying AI/ML solutions in enterprise or production environments, with demonstrated end-to-end ownership.
- Comfortable working asynchronously and collaborating in a remote-first or flexible workplace culture.
- Practitioner with hands-on skills in deploying and optimizing large-scale language models and ML pipelines, plus mentoring teammates.