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.

Deloitte Hiring Freshers and Experienced | Work From Home Roles

Requirements

• B.E.\B. Tech\B.S. candidates’ entries 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.

Gen Careers Opportunities Graduates for Software QA Engineer | 0 – 2yrs