AI Research Engineer

Detailed Job Description

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