As a Machine Learning Engineer, youll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions.
Primary 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.
- Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure
- Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science.
- Creation of microservices and APIs for serving ML models and ML services
- Evaluating new machine learning methods and adopting them for our purposes.
- Feature engineering to add new features that improve model performance.
Required Skills
- Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with around 5 years of professional work experience working on real-world applications.
- Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns).
- Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch,
- Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
- Architecting and implementing end-to-end solutions for accelerating experimentation and model building
- Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Ability to perform both independent and collaborative research.
- Excellent written and spoken communication skills.
Preferred Qualification And Experience
- B.E.B. TechB.S. candidates entries with 3+ years of experience in the aforementioned fields will be considered.
- M.E.M.S.M. TechPhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferr
(ref:hirist.tech)
