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
