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Samyak Infotech - Machine Learning Engineer - NLP/Tensorflow

Samyak Infotech
Others
5 - 7 Years
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3.8white-divider36+ Reviews

Posted on: 16/09/2025

Job Description

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. 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 preferr


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