Manufacturing & Industrial
Full-Time
Samyak Infotech Pvt. Ltd.
Overview
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
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.
- 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
- Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch,.
- Excellent mathematical and skills and background
- 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.
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