Roles and Responsibilities:

<ul>
<li>We are seeking a highly skilled Full Stack Lead with Python skills and a strong background in Machine Learning to design, develop, and implement cutting-edge solutions using unsupervised learning methods. </li>
</ul>

<ul>
<li>The ideal candidate will have hands-on experience with various ML algorithms and frameworks, and a solid understanding of data processing and analysis.</li>
</ul>

Key Responsibilities:

<ul>
<li>Design and implement scalable web applications and platforms using technologies such as Typescript, NestJS, Angular, NodeJS, ExpressJS, TypeORM, and Postgres</li>
</ul>

<ul>
<li>Good understanding of web and REST API design patterns</li>
</ul>

<ul>
<li>Experience with AWS technologies such as EKS, ECS, ECR, Fargate, EC2, Lambda, ALB will be an added advantage</li>
</ul>

<ul>
<li>Hands-on experience with unit test frameworks like Jest</li>
</ul>

<ul>
<li>Good working knowledge of JIRA, Confluence, Git</li>
</ul>

<ul>
<li>Basic knowledge of Kubernetes and Terraform for infrastructure as code</li>
</ul>

<ul>
<li>Basic knowledge of Docker compose and Docker</li>
</ul>

<ul>
<li>Strong understanding of microservices architecture and ability to implement components independently</li>
</ul>

<ul>
<li>Proven track record of problem-solving skills</li>
</ul>

<ul>
<li>Excellent communication skills</li>
</ul>

<ul>
<li>Develop, test, and maintain robust Python code for machine learning applications.</li>
</ul>

<ul>
<li>Implement unsupervised learning algorithms to uncover hidden patterns and insights from large datasets.</li>
</ul>

<ul>
<li>Collaborate with cross-functional teams to gather requirements and deliver scalable ML solutions.</li>
</ul>

<ul>
<li>Perform data preprocessing, feature extraction, and data augmentation to enhance model performance.</li>
</ul>

<ul>
<li>Design and conduct experiments to validate and optimize unsupervised learning models.</li>
</ul>

<ul>
<li>Utilize ML libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) to build and deploy models.</li>
</ul>

<ul>
<li>Document and present findings and insights to stakeholders in a clear and concise manner.</li>
</ul>

<ul>
<li>Stay updated with the latest advancements in machine learning and AI technologies.</li>
</ul>

Required Qualifications:

<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.</li>
</ul>

<ul>
<li>Proven experience as a Python Developer, with a strong portfolio of ML projects.</li>
</ul>

<ul>
<li>In-depth knowledge of unsupervised learning techniques (e.g., clustering, anomaly detection, dimensionality reduction).</li>
</ul>

<ul>
<li>Proficiency in Python and ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).</li>
</ul>

<ul>
<li>Experience with data preprocessing and transformation techniques.</li>
</ul>

<ul>
<li>Strong understanding of statistics, probability, and linear algebra.</li>
</ul>

<ul>
<li>Ability to work independently and as part of a team in a fast-paced environment.</li>
</ul>

<ul>
<li>Excellent problem-solving skills and attention to detail.</li>
</ul>

<ul>
<li>Strong communication skills, both written and verbal.</li>
</ul>

Preferred Qualifications:

<ul>
<li>Experience with big data technologies (e.g., Hadoop, Spark).</li>
</ul>

<ul>
<li>Familiarity with cloud platform like AWS and deploying ML models in production.</li>
</ul>

<ul>
<li>Knowledge of deep learning architectures and frameworks.</li>
</ul>

<ul>
<li>Prior experience in a relevant industry (e.g., healthcare, finance, retail).</li>
</ul>

<ul>
<li>Publications or contributions to open-source ML projects. </li>
</ul>

Lead Full Stack in Thanjavur (UID-10115)

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Job Description for Lead Full Stack

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