About the Role
We are looking for a professional who is passionate about ML and stays up-to-date with the latest developments in the field.
Responsibilities
- Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
- Architecting large-scale data analytics/modeling systems.
- Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
- Analyzing data collected from various sources.
- Evaluating and validating the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
- Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
- Evaluating new machine learning methods and adapting them as per project needs. Feature engineering to add new features that improve model performance.
- Follow secure development, testing, and deployment guidelines and practices to adhere to the overall security of the system under consideration.
Requirements
- B.E.B. TechB.S. candidates with significant knowledge in the aforementioned fields will be considered.
- Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing.
- Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
- Knowledge of machine learning libraries TensorFlow, Jax, Keras, scikit-learn, PyTorch.
- Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, and advanced probability concepts.
- Ability to perform both independent and collaborative research.
- Excellent written and spoken communication skills.
- A proven ability to work in a cross-discipline environment in defined time frames.
- Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
- Knowledge of systems engineering is a big plus.
