AI Research Engineer

Epergne Solutions; Chennai District; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Epergne Solutions in Bengaluru, India, is seeking an AI Research Engineer to design, develop, and deploy scalable ML systems, building LLM, computer vision, and multimodal pipelines for production use.

You will optimize reliability, performance and cost, collaborate with cross-functional teams, and contribute to training and inference pipelines, model evaluation, and production monitoring.

Qualifications

• 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.

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.
• Optimize training and inference costs through batching, quantisation, mixed precision, and GPU resource management.

Skills

Python

PyTorch

TensorFlow

ML Pipelines

MLOps

Docker

Kubernetes

CI/CD

GPU Optimisation

RAG / LLM Fine-tuning

Observability

Problem Solving

Collaboration

Education

Bachelor’s or Master’s in Computer Science / AI / ML

Tools

Docker

Kubernetes

MLflow

Weights & Biases

DVC

Airflow

Prefect

OpenTelemetry

Job description

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.

Job Role: AI Research Engineer

Job Location: Bengaluru, India

Experience:- 7+ 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