As a Senior AI Engineer, you will design, develop, and deploy AI solutions that address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems.Key Responsibilities:Develop innovative, scalable AI solutions for real business problems. Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives.Manage complex data sets, design efficient data processing pipelines, and train robust models. Expect to spend approximately 70% of your time on data and ML engineering tasks related to developing AI systems.Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions. Dedicate about 30% of your time to researching new techniques in NLP and ML that could benefit the business.Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction.Write clear, concise, and comprehensive technical documentation for all projects and systems developed.Stay updated on the latest developments in the field. Explore and prototype new technologies and approaches to address specific challenges faced by the business.Develop and maintain high-quality machine learning services. Prioritize robust engineering practices and user-centric development.Required Skills and Qualifications:Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related fieldDeep understanding and practical experience in machine learning and natural language processing, especially with deep learning architecturesStrong foundational knowledge in statistical modeling, probability, and linear algebraExtensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliabilityExperience developing and maintaining machine learning services for real-world applications at scaleStrong Python programming skills and ability to write maintainable, production-ready codeProficiency with Container Orchestration services such as DockerProficiency with AWS, including ServerlessProven track record in driving AI projects with strong technical leadership.Excellent communication skills when engaging with both technical and non-technical stakeholdersProactive attitude with a continuous improvement mindset, seeking help and providing feedback when necessaryPreferred Qualifications:Experience with LLMs for non conversational use casesExperience with natural language processing for legal applicationsProficiency with Terraform#LI-AK1
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