Senior AI Systems Developer

About the RoleWe are seeking a highly skilled Senior Machine Learning Engineer to join our team and contribute to the development of cutting-edge AI systems.The ideal candidate will have expertise in designing and optimizing AI inference pipelines, developing natural language processing capabilities, and building batch processing systems for cost-efficient AI workloads.They will also collaborate with product and engineering teams to translate business requirements into ML solutions that deliver measurable value.In addition, they will research and prototype new AI/ML approaches to expand platform capabilities and implement evaluation frameworks and monitoring systems to ensure AI output quality.The successful candidate will have strong programming skills in Python and experience with ML frameworks and libraries, as well as hands-on experience with cloud-based AI/ML services and serverless architectures.Key Responsibilities:Design and optimize AI inference pipelines to maximize quality while minimizing cost at scale.Develop and improve natural language processing capabilities including sentiment analysis, topic extraction, and intent classification across multiple languages.Build and maintain batch processing systems for cost-efficient AI workloads without sacrificing user experience.Collaborate with product and engineering teams to translate business requirements into ML solutions that deliver measurable value.Implement evaluation frameworks and monitoring systems to ensure AI output quality and detect model drift.Research and prototype new AI/ML approaches to expand platform capabilities, including predictive analytics and anomaly detection.Optimize prompt engineering and model selection strategies to balance accuracy, latency, and cost.Contribute to architectural decisions around AI infrastructure and help establish ML engineering best practices.RequirementsMinimum Requirements:Bachelor's degree in Computer Science, Machine Learning, or a related field.4+ years of experience in ML engineering, with demonstrated work on production NLP systems.Strong programming skills in Python and experience with ML frameworks and libraries.Experience with large language models (LLMs) including prompt engineering, fine-tuning approaches, and inference optimization.Hands-on experience with cloud-based AI/ML services and serverless architectures.Understanding of NLP fundamentals: text classification, named entity recognition, sentiment analysis, and text embeddings.Experience building data pipelines that feed ML systems at scale.Strong analytical skills and ability to work independently in a fully remote environment.Preferred Skills:Master's degree or Ph.D. in Machine Learning, NLP, or related field.Experience with batch inference systems and cost optimization strategies for AI workloads.Familiarity with multi-language NLP and machine translation systems.Experience building ML systems for SaaS products with multi-tenant architectures.Knowledge of MLOps practices: model versioning, A/B testing, and automated retraining pipelines.Experience with time-series forecasting and predictive analytics.Strong communication skills with the ability to explain complex ML concepts to non-technical stakeholders.What We OfferWe offer a competitive salary and benefits package, as well as opportunities for professional growth and development in a dynamic and innovative environment.You will be part of a talented team of engineers and researchers who are passionate about building cutting-edge AI systems.We encourage innovation, creativity, and collaboration, and provide a supportive and inclusive work environment.If you are a motivated and experienced Senior Machine Learning Engineer who is looking for a new challenge, we would love to hear from you.Please submit your resume and cover letter to apply for this exciting opportunity.