Senior AI Engineer

• Design, develop, deploy, and support production-ready machine learning models for various business use cases.
• Build and operationalize generative AI solutions, including retrieval-augmented generation, and explore emerging agentic AI approaches.
• Develop and maintain end-to-end AI/ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring in cloud environments.
• Integrate cloud-native and third-party AI services to improve delivery speed and business value.
• Ensure AI solutions are secure, scalable, dependable, and cost-conscious.
• Create reusable tools, frameworks, and best practices to support and accelerate AI development across teams.

• Strong experience designing and deploying AI/ML solutions in real-world environments.
• Proficiency in Python and common ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of machine learning algorithms, deep learning concepts, and generative AI techniques.
• Hands-on experience with cloud platforms and cloud AI services for scalable development and deployment.
• Working knowledge of data engineering, SQL, and feature engineering.
• Experience with ML Ops practices, including CI/CD, model monitoring, and version control.

• Opportunity to work on innovative machine learning, generative AI, and agentic AI solutions.
• Collaborative and mission-driven environment focused on responsible AI practices.
• Competitive compensation and benefits including medical, dental, vision, and retirement.

We’re working with a leading talent solutions company that empowers organizations to achieve their goals by connecting them with top-tier professionals. They are at the forefront of innovation, dedicated to shaping the future of business through strategic talent acquisition and cutting-edge technology.