Key Responsibilities 
<ul>
<li>Design, implement, and optimize machine learning models for various applications, including prediction, classification, clustering, and recommendation systems.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Develop and maintain data pipelines, ensuring data is clean, reliable, and suitable for training and testing machine learning models.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Stay updated on the latest AI/ML trends, techniques, and tools to drive innovation within the team.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Prototype and test new algorithms and methods to solve complex problems.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Collaborate with software engineers to integrate AI/ML solutions into existing platforms and applications.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Monitor and analyze the performance of deployed models, implementing improvements as needed to maintain high accuracy and efficiency.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Work closely with cross-functional teams, including data scientists, product managers, and business analysts, to align AI/ML solutions with business objectives.</li>
</ul>
 Required Qualifications 
<ul>
<li style="margin-left:1.6rem;"> Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Strong programming skills in Python, R, or similar languages.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Proficiency in working with large datasets and databases (SQL, NoSQL, etc.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Solid understanding of algorithms, data structures, and mathematical concepts (linear algebra, probability, statistics).</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Experience with cloud platforms like AWS, Azure, or Google Cloud for AI/ML deployment.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Strong problem-solving skills and attention to detail.</li>
</ul>

Preferred Qualifications 
<ul>
<li style="margin-left:1.6rem;"> Experience with natural language processing (NLP) or computer vision (CV) techniques.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Familiarity with MLOps practices and tools.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Knowledge of containerization and orchestration tools (e.g , Docker, Kubernetes).</li>
</ul>

<ul>
<li style="margin-left:1.6rem;"> Published research or contributions to open-source AI/ML projects.</li>
</ul>

Machine Learning Engineer in Hyderabad (UID-7849)

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Job Description for Machine Learning Engineer

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