Sr Machine Learning Engineer

Job Description: You will be responsible for designing, developing, and implementing machine learning models and algorithms to address complex issues. Your role will involve collaborating with data scientists, software engineers, and product teams to enhance services with innovative AI/ML solutions. Additionally, you will build scalable ML pipelines, ensure data quality, and deploy models to drive business insights and enhance customer experiences. **Key Responsibilities:** - Develop and optimize machine learning models for various applications. - Preprocess and analyze large datasets to extract meaningful insights. - Deploy ML solutions into production environments using appropriate tools and frameworks. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models. **Qualification Required:** - Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent. - Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. - Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. - Several years of experience in designing, implementing, and deploying machine learning models. The company believes in conducting business guided by core values of Inclusion, Innovation, Collaboration, and Wellness. Working together as a global team, with customers at the center, the values push for self-care, support, and community engagement. If you are interested in exploring our benefits, please visit our [Company website]. Join our Talent Community for general requests or consideration of your skills. The company is committed to diversity and inclusion. Don't let challenges like the confidence gap or imposter syndrome deter you from applying.,