Machine Learning Scientist

1 month ago

Chennai Tamil Nadu, India Agilysys, Inc. Full time

**About Company**

**Machine Learning Scientist**

We are looking for Senior Applied Scientists who has deep passion for building machine-learning solutions and can help us take our products to the next level.

In this role, you will
- Be responsible for developing, training, inferencing, evaluating, and deploying machine learning algorithms and/or models.
- Design and perform experiments to continually refine and enhance our deep learning technology solutions.
- Work closely with software engineers on detailed requirements, technical designs and solutions.
- Provide technical leadership and research new machine learning approaches to drive innovation.
- Help drive adoption of Machine Learning across the company.

**Qualifications**
- Master’s degree in Data Science, Analytics or Computer Science with Machine Learning specialization or related discipline. A PhD is preferred.
- 3+ years hands-on experience in building Machine Learning solutions.
- 1+ years’ experience with data structures, algorithm design, problem solving and complex analysis.
- Experience with implementing deep learning platforms such as TensorFlow, Keras, and Darknet
- Experience with implementing deep learning models such as Inception, Faster-RCNN, SSD, YOLO3.
- Strong coding knowledge, experience with Azure or AWS machine learning pipelines.
- Excellent understanding of convolution neural networks and other machine vision algorithms and methodologies.
- Experience working effectively with science, data processing, and software engineering teams.
- Excellent oral and written communication skills, with the ability to effectively communicate complex technical concepts and solutions.
- Proven hands on experience working with large data sets and training models.
- Ability to extract the practical implementation information from academic papers.
- Interest in working on embedded systems.
- Proven track record of executing complex projects.

**Preferred**:

- Experience in deploying machine learning models on the edge

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