Easter Seals Jobs

Introduction

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

Your role and responsibilities

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· Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives.

· Gather, clean, and prepare large datasets to ensure readiness for AI model training

· Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.

· Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity.

· Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization.

· Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments

· Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities.

· Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders.

· Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment.

· Lead and mentor team members to improve performance.

· Collaborate with operations, architects, and product teams to resolve issues and define product designs.

· Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components

· Participate in software design reviews, code reviews and project planning.

· Write and review documentation and technical blog posts.

· Contribute to department attainment of organizational objectives and high customer satisfaction

Required technical and professional expertise

Hands-on experience with Langchain, Langgraph, or Langsmith frameworks.

Solid understanding of Kubernetes operators and their deployment.

Strong expertise in Machine Learning, Deep Learning, and Neural Networks.

Proficiency in Natural Language Processing (NLP) and related libraries.

Knowledge of Retrieval-Augmented Generation (RAG) workflows and optimization techniques.

Familiarity with cloud-native technologies and distributed systems.

Excellent problem-solving skills, a collaborative mindset, and a passion for innovation.

Preferred technical and professional experience

Prior experience working in AI/ML model optimization or inference pipelines.

Exposure to containerization tools such as Docker and orchestration platforms like Kubernetes.

Familiarity with vector databases and hybrid search solutions.