Role &amp; responsibilities

<ul>
<li style="margin-left:0px;">Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications.</li>
</ul>

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<li style="margin-left:0px;">Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.</li>
</ul>

<ul>
<li style="margin-left:0px;">Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data.</li>
</ul>

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<li style="margin-left:0px;">Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance.</li>
</ul>

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<li style="margin-left:0px;">Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain.</li>
</ul>

<ul>
<li style="margin-left:0px;">Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability.</li>
</ul>

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<li style="margin-left:0px;">Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability.</li>
</ul>

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<li style="margin-left:0px;">Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required.</li>
</ul>

<ul>
<li style="margin-left:0px;">Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives </li>
</ul>
Preferred candidate profile

<ul>
<li style="margin-left:0px;">Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn.</li>
</ul>

<ul>
<li style="margin-left:0px;">Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects.</li>
</ul>

<ul>
<li style="margin-left:0px;">Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc.</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. </li>
</ul>

Machine Learning Engineer in Chennai (UID-9185)

Job Description

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Skills Required for Machine Learning Engineer

Job Description for Machine Learning Engineer

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