<p><strong>What role you will play in team:</strong> Design, develop, and deploy machine learning models for various business applications within a collaborative team environment.</p><p><strong>What you will do:</strong> Responsible for the entire machine learning lifecycle including data exploration, feature engineering, model selection and evaluation, and deployment.</p><p><strong>Key responsibility:</strong><ul><li>Design and develop machine learning models using various algorithms.</li><li>Perform data exploration, feature engineering and selection.</li><li>Evaluate model performance and implement improvements.</li><li>Deploy models into production environments.</li><li>Collaborate with other engineers and data scientists.</li><li>Stay current with latest advances in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Computer Science or related field preferred.</li><li>2-4 years of experience in machine learning engineering.</li><li>Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Strong problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Dynamic and collaborative work culture.</li><li>Flexible work arrangements (Hybrid options available).</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve working on model development, debugging code, collaborating with team members, reviewing research papers and meeting project deadlines.</p>