AI/NLP/Data Engineer

practical, impactful machine learning solutions in a fast-growing environment. Accountabilities - Build, improve, and deploy NLP, generative AI, and machine learning models that support intelligent digital engagement solutions. - Develop scalable infrastructure for AI modeling, experimentation, training, deployment, monitoring, and continuous improvement. - Design and maintain data processing pipelines, AI trainer tools, and workflows that enable efficient model development. - Research, prototype, and implement algorithmic improvements to enhance model accuracy, performance, and scalability. - Develop machine intelligence solutions tailored to customer needs and industry-specific use cases. - Monitor, debug, and optimize AI models running in production environments. - Collaborate with platform and engineering teams to create tools and capabilities that accelerate AI development and deployment. - Contribute to technical documentation, knowledge sharing, and internal training

initiatives related to AI and machine learning. - Make thoughtful technology decisions that balance innovation, scalability, and business impact. Requirements - 3+ years of experience in AI, machine learning, NLP, data engineering, or related technical fields. - Master’s degree or equivalent experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Science, or a related discipline. - Proven experience building production-quality AI systems involving generative AI, NLP, speech processing, deep learning, or similar technologies. - Strong software engineering skills with experience developing reliable, scalable applications. - Experience designing and deploying machine learning models with limited training data. - Strong understanding of AI/ML development workflows, experimentation frameworks, and model deployment practices. - Ability to quickly learn new technologies, research emerging techniques, and turn ideas into production-ready solutions. -

Experience working with Python and machine learning frameworks such as PyTorch. - Familiarity with cloud environments such as AWS or Google Cloud Platform. - Experience with technologies such as Linux, Airflow, Docker, or Node.js is a plus. - Strong communication skills with the ability to collaborate effectively in a dynamic, cross-functional environment. - Passion for improving AI systems and building robust, scalable machine learning solutions. Benefits - Competitive salary package with equity opportunities. - Comprehensive medical, dental, and vision benefits. - Unlimited paid time off policy. - Fully remote work-from-home opportunity. - Access to modern development tools, hardware, and collaboration platforms. - Opportunity to work with cutting-edge AI, NLP, and machine learning technologies. - Collaborative team environment focused on innovation and continuous learning. - Opportunity to make a significant impact by developing practical AI