AI Research Engineer

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:- - Strong 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, and collaboration skills. Qualifications & Experience:- - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 3–5+ years of experience in applied machine learning, AI engineering, or software engineering. - Experience developing and deploying production-grade machine learning applications. - Understanding of statistics, experimentation, model evaluation, and real-world performance analysis. Preferred Attributes:_ - Hands-on experience with LLMs, computer vision, or multimodal AI systems. - Ability to balance research innovation with production engineering requirements. - Strong ownership mindset and experience working in cross-functional teams. - Excellent communication and technical documentation skills