Job Role:- AI Research Engineer

Job Location:- Bengaluru, India

Experience:- 3-5+ Years

Role Summary:-
We are seeking an AI Research Engineer to design, develop, and deploy scalable machine learning systems and AI-powered features. The role focuses on building LLM, computer vision, and multimodal machine learning pipelines, deploying models into production, and improving system reliability, performance, and cost efficiency.
Key Responsibilities:-
Design and develop AI features from data ingestion through real-time model inference.
Build scalable, cost-efficient, and observable machine learning systems and services.
Develop training and inference pipelines for LLM, computer vision, and multimodal AI models.
Create model evaluation frameworks, including offline evaluation, online experiments, and user feedback integration.
Collaborate with software engineering, data, and product teams to deliver AI-powered features.
Deploy, monitor, and maintain machine learning models using containerised and cloud-based infrastructure.
Investigate production incidents,



improve system reliability, and optimise operational performance.
Optimise training and inference costs through batching, quantisation, mixed precision, and GPU resource management.
Required Skills:-
Robust proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow.
Experience building end-to-end machine learning pipelines, including data preparation, training, evaluation, deployment, and monitoring.
Knowledge of MLOps tools such as MLflow, Weights & Biases, DVC, Airflow, or Prefect.
Experience with Docker, Kubernetes, containerised deployments, and CI/CD practices.
Understanding of GPU optimisation, ONNX, TensorRT, batching, and mixed precision techniques.
Familiarity with vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning approaches.
Knowledge of observability and monitoring tools such as Prometheus, Grafana, or OpenTelemetry.
Strong analytical, problem-solving, an

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