Senior AI/ML Engineer - Onsite (225-727)

As a Senior AI/ML Engineer, you will play a pivotal role in designing and implementing cutting-edge machine learning models and artificial intelligence technologies. Based in our innovative and fast-paced onsite environment, your expertise will drive the development of solutions that not only elevate product offerings but also enhance user experiences across various platforms. Collaborating with cross-functional teams and employing state-of-the-art algorithms, you will tackle complex challenges and contribute to the advancement of our AI capabilities. If you have a passion for artificial intelligence, a knack for problem-solving, and the desire to work on impactful projects, join us in this critical and exciting role.

Responsibilities

• Design and develop machine learning models to solve complex business problems.
• Collaborate with software engineers to integrate AI solutions into existing platforms.
• Lead research efforts to explore new AI technologies and methodologies.
• Develop optimization algorithms to enhance model performance and accuracy.
• Mentor junior engineers and provide guidance on best practices in AI development.
• Analyze large datasets to identify trends and inform AI model design.
• Deploy machine learning models into production and ensure scalability.
• Evaluate AI technologies and recommend solutions that align with strategic goals.
• Work closely with product managers to align AI projects with business objectives.
• Collaborate with data scientists to refine data preprocessing techniques.
• Stay updated with industry trends and incorporate new techniques into the workflow.
• Present findings and progress to stakeholders and executive leadership on a regular basis.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Proven experience in developing and deploying AI and machine learning solutions.
• Strong programming skills in Python and proficiency with AI/ML libraries.
• Experience with cloud services and deploying machine learning models at scale.
• Deep understanding of machine learning algorithms and data structures.
• Excellent problem-solving skills and ability to work in a team environment.
• Strong communication skills for effective collaboration with cross-functional teams.
• Familiarity with data preprocessing and feature engineering techniques necessary for AI.