[Remote] AI/ML Engineer

Note: The job is a remote job and is open to candidates in USA. Delta System & Software, Inc. is seeking an AI/ML Engineer to lead the design, development, and deployment of production-grade ML and Generative AI services. The role involves close collaboration with stakeholders, mentoring junior engineers, and implementing MLOps capabilities to ensure high-quality outputs and model reliability.ResponsibilitiesProvide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployedWork closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use casesMentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the teamImplement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generationConduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applicationsImplement monitoring mechanisms to track model performance in real-time and ensure model reliabilityCommunicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiencesStay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionalitySkillsBachelor's or Master's degree in Computer Science, Engineering, or a related field10+ years of engineering experience, including 3-5+ years building, deploying, and operating applied AI/ML systems in production (model lifecycle, MLOps, monitoring, and governance)Demonstrate hands-on engineering leadership: setting technical direction, making architecture decisions, conducting design and code reviews, mentoring junior engineers, and guiding implementation quality across multiple workstreamsProficiency in programming languages like Python for model development, experimentation, and integration with OpenAI APIExperience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI APIExperience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimizationSolid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEsAbility to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applicationsStrong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projectsA portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineeringFamiliarity with the financial services industriesExpertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG)Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategiesCompany OverviewDelta System & Software is an information technology company offering SAP, ERP, and, e-business solutions. It was founded in 2006, and is headquartered in Mckinney, Texas, USA, with a workforce of 51-200 employees. Its website is http://deltassi.com.Company H1B SponsorshipDelta System & Software, Inc. has a track record of offering H1B sponsorships, with 11 in 2025, 66 in 2024, 43 in 2023, 70 in 2022, 91 in 2021, 60 in 2020. Please note that this does not guarantee sponsorship for this specific role.