Sr. ML Engineer

Job Role: Machine Learning Engineer

As a Machine Learning Engineer, you’ll 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:

1. Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.

2. Architecting large scale data analytics / modeling systems.

3. Designing and programming machine learning methods and integrating them into our ML framework / pipeline.

4. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure

5. 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.

6. Creation of microservices and APIs for serving ML models and ML services

7. Evaluating new machine learning methods and adopting them for our purposes.

8. Feature engineering to add new features that improve model performance.

Required skills:

1. 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.

2. Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns).

3. Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch,

4. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts

5. Architecting and implementing end-to-end solutions for accelerating experimentation and model building

6. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)

7. Ability to perform both independent and collaborative research.

8. Excellent written and spoken communication skills.

Preferred qualification and experience:

B.E.\B. Tech\B.S. candidates' entries with 3+ years of experience in the aforementioned fields will be considered.

M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.