<p><b>What role you will play in team:</b> You will work collaboratively within a team to design, develop, and deploy robust machine learning solutions for our clients. </p><p><b>What you will do:</b> You will be responsible for the full machine learning lifecycle, from data exploration to model deployment and maintenance.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various techniques.</li><li>Perform data preprocessing, feature engineering, and model selection.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Deploy models into production environments using appropriate tools and technologies.</li><li>Collaborate with other engineers and stakeholders to define requirements and solutions.</li><li>Document code and processes clearly and comprehensively.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li><li>Strong programming skills in Python.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Excellent problem-solving and analytical 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>Collaborative and innovative work environment.</li><li>Comprehensive health insurance and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b>  You’ll spend your day working on different phases of the machine learning project life cycle, from data analysis to model deployment, collaborating with a team of engineers.</p>