<p><strong>What role you will play in team:</strong> Collaborate with a team of engineers and scientists to design, develop, and deploy machine learning models.</p><p><strong>What you will do:</strong> You will be involved in all aspects of the ML lifecycle, from data preparation to model deployment and monitoring.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models using various algorithms and techniques.</li><li>Perform data preprocessing, feature engineering, and model selection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other engineers and scientists to design and implement new features.</li><li>Maintain and improve existing machine learning models.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>1-2 years of experience in machine learning engineering.</li><li>Proficiency in Python or Java.</li><li>Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on challenging and impactful projects.</li><li>Mentorship and professional development opportunities.</li><li>Work with latest technologies.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> A day may involve coding, testing, debugging and collaborating with team members to resolve technical challenges, while deploying and maintaining ML models.</p>