Machine Learning Research Assistant
Onsite
[
New Delhi
]
About Us
At Binaire, we build multi-modal inference systems and frontier text and image models that power next-generation applications. As a fast-growing tech company, we combine cutting-edge research with product-driven engineering to deliver scalable, AI-powered solutions. Join us as a Machine Learning Intern and contribute to real-world ML systems — from model training to deployment.
About the Role
We are looking for a highly motivated Machine Learning Research Assistant to support research and development in cutting-edge ML/AI projects. You will work closely with researchers and engineers to design experiments, implement models, analyze data, and contribute to innovative solutions.
Key Responsibilities
- Assist in designing, implementing, and evaluating machine learning models
- Conduct literature reviews and summarize recent research papers
- Build and preprocess datasets for training and testing
- Run experiments and analyze results with statistical rigor
- Optimize models for performance, scalability, and efficiency
- Collaborate with cross-functional teams (engineering, product, data)
- Document methodologies, experiments, and findings clearly
- Contribute to research papers, reports, or internal documentation
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- Strong understanding of machine learning fundamentals (supervised, unsupervised, deep learning)
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with data analysis tools (NumPy, Pandas, Matplotlib)
- Familiarity with statistics and experimental design
- Strong problem-solving and analytical skills
Preferred Qualifications
- Experience with NLP, computer vision, or reinforcement learning
- Familiarity with research workflows and academic writing
- Experience with large-scale datasets and distributed training
- Knowledge of model optimization techniques (quantization, pruning, distillation)
- Exposure to modern ML frameworks (e.g., JAX, ONNX, MLX)
Nice to Have
- Contributions to research papers, GitHub projects, or open-source ML work
- Experience with cloud platforms (AWS, GCP, Azure)
- Understanding of MLOps pipelines and deployment
What We Offer
- Opportunity to work on cutting-edge AI research
- Mentorship from experienced researchers and engineers
- Flexible working environment
- Competitive compensation (if applicable)
- Exposure to real-world ML applications and product development