AI Research Engineer

Epergne Solutions; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Epergne Solutions in Bengaluru, India, is seeking an AI Research Engineer to design, develop, and deploy scalable ML systems. You will work on LLM, computer vision, and multimodal pipelines, deploying models into production and improving reliability, performance, and cost efficiency.

The role requires 3–5+ years of hands-on experience in applied ML, with strong Python and ML framework skills. You will collaborate with cross-functional teams to deliver AI-powered features, optimise GPU usage, and

Qualifications

• 3–5+ years of experience in applied ML, AI engineering, or software engineering.
• Experience building end-to-end machine learning pipelines from data prep to deployment.
• Experience deploying production-grade ML applications.
• Strong analytics, experimentation, and collaboration skills.

Responsibilities

• Design and develop AI features from data ingestion through real-time model inference.
• Build scalable, cost-efficient, 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.

Skills

Python

PyTorch

TensorFlow

ML pipelines

MLOps

Docker

Kubernetes

CI/CD

ONNX

TensorRT

RAG

LLM fine-tuning

Observability

Prometheus

Grafana

Education

Bachelor's or Master's in CS/AI/ML

Tools

MLflow

Weights & Biases

DVC

Airflow

Prefect

Job description

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