<p><b>What role you will play in team:</b> Collaborate with a team of data scientists to develop and deploy machine learning models.</p><p><b>What you will do:</b> Build and maintain data pipelines, perform data analysis, and develop machine learning models.</p><p><b>Key responsibility:</b><ul><li>Design, develop and implement machine learning models.</li><li>Develop and maintain data pipelines for efficient data ingestion and processing.</li><li>Perform exploratory data analysis to identify patterns and insights.</li><li>Communicate results and findings effectively to both technical and non-technical audiences.</li><li>Work with large datasets using various tools and technologies.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (Spark, Hadoop).</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and growth.</li><li>Dynamic and collaborative work environment.</li><li>Hybrid work model.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves a mix of coding, data analysis, and collaboration. The work is fast-paced and requires strong analytical and problem-solving skills.</p>