Engineer Jobs

About The Position

Requirements

• Strong analytical thinking, creative problem-solving abilities.
• Hands-on engineering mindset with the ability to build scalable, maintainable, and production-ready AI solutions.
• Debugging and optimization expertise in python
• Excellent collaboration skills to work effectively in cross-functional teams.
• Adaptability and a continuous learning mindset to stay current with industry trends.
• High level of integrity, professionalism, and accountability in delivering results.
• Ability to balance experimentation with practical business implementation.
• Bachelor’s degree, or equivalent experience, in Computer Science, Data Science, Machine Learning, or a related technical field.
• At least 4 years of progressively complex experience in AI, Machine Learning, data science, or software engineering roles.
• At least 4 years of experience developing, deploying, and maintaining AI or Machine Learning solutions in a production environment.
• Strong proficiency in Python, including optimization and debugging.
• At least 2 years of hands-on experience with RAG and LLM solutions.
• At least 3 years of experience with machine learning frameworks such as TensorFlow or PyTorch.
• Proven experience optimizing data pipelines and working with large datasets.
• Experience with containerization, version control, and CI/CD practices for software deployment.

Nice To Haves

• Master’s degree or higher in Computer Science, Artificial Intelligence, or a closely related field.
• Experience leading or coordinating portions of complex projects involving multiple stakeholders.
• Familiarity with big data processing tools such as Spark or Hadoop
• Experience with cloud-based AI services, including AWS, Azure, or Google Cloud Platform.
• Published research or conference presentations in Artificial Intelligence or Machine Learning.

Responsibilities

• Architect, design, and maintain AI/ML models and systems that support large-scale data processing and analytics.
• Implement advanced algorithms and technical methodologies to anticipate, resolve, and prevent roadblocks.
• Conduct rigorous testing and validation of AI models to ensure performance, accuracy, and scalability.
• Partner with data scientists, engineers, product owners, and other cross-functional stakeholders to translate business requirements into AI-driven solutions.
• Lead or support the design of data pipelines while ensuring integrity, security, and compliance.
• Monitor deployed models, troubleshoot production issues, and continuously optimize model performance.
• Contribute to AI research, experimentation, and the evaluation of emerging technologies and industry best practices.
• Provide technical guidance, mentoring, and knowledge sharing to less experienced team members.
• Prepare clear technical documentation, including best practices, standards, and process guidelines.

Benefits

• Inclusive culture with associate-led Business Resource Groups
• 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
• Online and Retail Discounts
• Company Match 401(k)
• Physical and Mental Health Wellness programs