Job Title

Company DescriptionFirstEigen is a pioneer in data quality and trustability solutions, helping organizations ensure accurate and reliable data for critical decision-making. Our core product, DataBuck, is trusted by Fortune 100 companies for real-time validation and monitoring of millions of records with precision and scalability. By integrating advanced AI and machine learning, DataBuck identifies elusive errors, minimizes false alerts, and streamlines data validation processes. Serving industries such as financial services and healthcare, we empower enterprises to transform their data into a dependable resource, driving enhanced outcomes and operational efficiency.Role DescriptionThis is a full-time remote role for an AI Model Engineer. The AI Model Engineer will be responsible for designing, building, and deploying AI/ML models that enhance the functionality of FirstEigen’s solutions. The role includes data analysis, creating predictive models, optimizing machine learning algorithms, and implementing scalable AI solutions. Collaboration with cross-functional teams to enhance DataBuck’s performance will also be a key responsibility.QualificationsStrong expertise in AI/ML model development, data science, and advanced machine learning algorithmsCodex and or Claude familiarly is required Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow or PyTorchKnowledge in data engineering concepts, experience with distributed computing, and familiarity with big data technologies like SparkStrong problem-solving, analytical thinking, and debugging skillsExperience with cloud platforms and scalable architecture for AI/ML solutionsBachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, preferably from IIT or NITExperience in the financial services or healthcare industry is a plus