<p><b>What role you will play in team:</b>You will be a key member of our machine learning team, working on the design, development, and deployment of machine learning models for various applications.  You'll collaborate with data scientists and engineers to build and maintain high-performing machine learning systems.</p><p><b>What you will do:</b>You will develop and implement machine learning algorithms, train and evaluate models, and deploy them into production environments.  This requires a strong understanding of machine learning concepts and experience with various machine learning tools and technologies.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models.</li><li>Train and evaluate machine learning models using various techniques.</li><li>Develop and maintain data pipelines for efficient data processing.</li><li>Collaborate with data scientists and engineers to build high-performing machine learning systems.</li><li>Implement model monitoring and maintenance processes.</li><li>Stay abreast of the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>2-4 years of experience in machine learning engineering.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Health Insurance Coverage.</li><li>Paid time off.</li><li>Performance based incentives.</li><li>A challenging and stimulating work environment.</li></ul></p><p><b>A Day in the Life:</b>A typical day might involve writing code, training models, debugging, and collaborating with teammates. You'll work on challenging problems and learn new technologies constantly.</p>