<p>JobID: 210601463</p> <p>Category: Predictive Science</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2025-03-11T13:52:49+00:00</p> <p>JobShift:</p> <p>:</p> <p>Join our innovative team and drive the future of AI/ML! We're seeking passionate individuals to transform data into actionable insights, impacting industries worldwide. Be part of a dynamic environment where your expertise will shape cutting-edge solutions and make a real difference.</p> <p>As an Applied AI/ML Sr. Associate in our Data Science team, you will harness the power of machine learning to solve complex problems and enhance decision-making processes. You'll collaborate with a diverse group of experts, fostering a culture of innovation and continuous learning. Together, we'll push the boundaries of technology and create meaningful change.</p> <p>Job responsibilities</p> <ul> <li>Develops and implements advanced machine learning models </li><li>Analyzes large datasets to extract valuable insights </li><li>Collaborates with cross-functional teams to integrate AI solutions </li><li>Optimizes algorithms for performance and scalability </li><li>Stays updated with the latest AI/ML trends and technologies </li><li>Communicates findings and recommendations to stakeholders </li><li>Mentors junior team members in AI/ML techniques </li><li>Designs experiments to validate model effectiveness </li><li>Ensures data quality and integrity in all analyses </li><li>Contributes to the development of AI-driven products </li><li>Documents processes and methodologies for future reference </li></ul> <p>Required qualifications, capabilities, and skills</p> <ul> <li>Bachelor's degree in Computer Science, Data Science, or related field </li><li>3+ years of experience in machine learning implementation </li><li>Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch) </li><li>Strong understanding of data science principles and techniques </li><li>Experience with data preprocessing and feature engineering </li><li>Ability to work collaboratively in a team environment </li><li>Excellent problem-solving and analytical skills </li><li>Strong communication skills for technical and non-technical audiences </li></ul> <p>Preferred qualifications, capabilities, and skills</p> <ul> <li>Master's degree in a relevant field </li><li>Experience with cloud platforms (e.g., AWS, Azure) </li><li>Familiarity with big data technologies (e.g., Hadoop, Spark) </li><li>Knowledge of deep learning architectures </li><li>Experience in deploying machine learning models in production </li><li>Publications or contributions to AI/ML research </li><li>Certification in AI/ML from a recognized institution </li></ul>