AI Research Engineer

enter; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Enter in Bengaluru seeks a skilled ML/DL researcher to develop and productionize AI systems. You will translate published research into executable code and design experiments to validate hypotheses, aiming to improve model performance with modern architectures.

You will build prototypes and collaborate across research initiatives, optimizing architectures for accuracy and efficiency while documenting findings for publication outputs.

Qualifications

• Strong programming fundamentals and clean, efficient code.
• Solid grasp of ML theory and deep learning principles.
• Understanding of neural network design and research methodologies.
• Ability to translate published research into functional implementations.
• Hands-on experience conducting ML experiments and interpreting results.
• Familiarity with PyTorch and TensorFlow frameworks.
• Knowledge of statistical methods and their application to model evaluation.

Responsibilities

• Develop and implement machine learning and deep learning systems to advance research goals.
• Translate published research into working code and experimental setups.
• Design and run experiments to validate hypotheses and improve model performance.
• Work with neural networks and modern model architectures to solve complex problems.
• Build prototypes and production implementations of AI systems.
• Collaborate on research initiatives from conception through evaluation.
• Optimize model architectures for both accuracy and efficiency.
• Document findings and contribute to the research output.

Skills

ML theory

Deep learning

Neural network design

Research methodologies

Experimentation

Python programming

Model evaluation

Tools

PyTorch

TensorFlow

Job description

About the role:

• Develop and implement machine learning and deep learning systems that advance the organization's research agenda
• Translate published research into working code and experimental setups
• Design and run experiments to validate hypotheses and improve model performance
• Work with neural networks and modern model architectures to solve complex problems

What you'll work on:

• Building prototypes and production implementations of AI systems
• Collaborating on research initiatives from conception through evaluation
• Optimizing model architectures for both accuracy and efficiency
• Documenting findings and contributing to the research output

What we're looking for:

• Strong programming fundamentals with the ability to write clean, efficient code
• Solid grasp of machine learning theory and deep learning principles
• Understanding of neural network design, model architectures, and research methodologies in AI
• Demonstrated ability to take published research papers and turn them into functional implementations
• Hands-on experience conducting machine learning experiments and interpreting results
• Familiarity with PyTorch and TensorFlow frameworks
• Knowledge of statistical methods and their application to model evaluation