Job Role : Machine Learning Engineer.
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.
- 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 backgroundKnowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch,.Excellent mathematical and skills and backgroundArchitecting 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.(ref : hirist.tech)
Skills Required
Tensorflow, Artificial Neural Networks, Deep Learning, Signal Processing, Machine Learning, Pytorch, Keras, Clustering