AI Research Engineer

Epergne Solutions; Maharashtra; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Epergne Solutions is seeking an AI Research Engineer in Bengaluru to design, develop, and deploy scalable ML systems powering AI features. The role covers LLMs, computer vision, and multimodal models, with emphasis on production deployment, reliability, and cost efficiency.

The ideal candidate will have 7+ years of relevant experience, strong Python and ML framework skills, and a track record of delivering end-to-end ML solutions in a cross-functional environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, or related field.
• 3+ years of relevant industry experience in ML or software engineering.
• Experience building and deploying production-grade ML applications.
• Strong understanding of statistics, experimentation, and model evaluation.

Responsibilities

• Design and develop AI features from data ingestion through real-time model inference.
• Build scalable, cost-efficient, and observable ML systems and services.
• Develop training and inference pipelines for LLM, computer vision, and multimodal models.
• Create evaluation frameworks including offline/online experiments and user feedback integration.
• Collaborate with software, data, and product teams to deliver AI-powered features.
• Deploy, monitor, and maintain models using containerised and cloud infrastructure.
• Investigate production incidents, improve reliability, and optimise performance.
• Reduce training and inference costs via batching, quantisation, and mixed precision.

Skills

Python

PyTorch

TensorFlow

ML pipelines

LLM fine-tuning

Multimodal ML

MLOps

Observability

Collaboration

Problem solving

Education

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

Tools

Docker

Kubernetes

MLflow

Weights & Biases

DVC

Airflow

Prefect

ONNX

TensorRT

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