Digital India Corporation NeGD

Artificial Intelligence/Machine Learning Engineer

Digital India Corporation NeGD

New Delhi•On-site•5-8 Yrs•1 day ago

Job description

AIML ResearchGenerative AIPredictive ModelingNeural Networks

Overview

As a Machine Learning Researcher at the company, you will be responsible for solving complex business problems through predictive modeling, deep learning, and generative AI research.

Responsibilities

Designing and architecting neural network models such as Transformers, CNNs, RNNs, and hybrid architectures.
Developing and implementing training algorithms and optimization strategies.
Fine-tuning pre-trained foundation models using Parameter-Efficient Fine-Tuning methods for domain-specific applications.
Implementing Reinforcement Learning from Human Feedback and Constitutional AI methodologies.
Engineering high-quality training datasets through data collection strategies, cleaning pipelines, augmentation techniques, and synthetic data generation.
Designing and executing comprehensive model evaluation frameworks.
Optimizing model architectures for efficiency through knowledge distillation, model pruning, quantization-aware training, and neural architecture search.
Performing rigorous statistical analysis and hypothesis testing on model outputs.
Collaborating with domain experts to translate business requirements into mathematical formulations and ML problem statements.
Mentoring junior researchers and engineers on machine learning theory, algorithmic best practices, and research methodologies.
Documenting research findings, model architectures, training methodologies, and experimental results in technical reports.

Qualifications

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or related quantitative field. Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field highly desirable.
Strong foundation in linear algebra, calculus, probability theory, statistics, and optimization theory.
Minimum 5-9 years of research and development experience in applied machine learning with expertise in designing and training neural networks.
Extensive experience in at least two domains such as Natural Language Processing (NLP), Computer Vision, Speech Recognition, Recommendation Systems, or Reinforcement Learning.

Nice to have

Experience in NLP, Computer Vision, Speech Recognition, Recommendation Systems, or Reinforcement Learning
Knowledge of transformers, mathematical optimization, reinforcement learning, generative modeling, and model compression
Understanding of research and development tools for experiment tracking, data manipulation, visualization, version control, and hardware awareness

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