AI Engineer

Elutions • Tampa, FL

5h

About The Position

Elutions , a premier enterprise AI company, delivers transformative financial benefits to our client base utilizing our proprietary AI ecosystem, Maestro. The platform’s AI pipeline automates the understanding of our client’s domain, the identification of operational anomalies within their processes, the prescription of a root cause analysis for said anomalies, and issuance of the corrective/remedial actions in real-time required to optimize said processes and track the financial improvement of their operations to provide a fully optimized, autonomous environment for our clients. Maestro AI is industry agnostic, with a current focus on large industrial companies within the oil & gas, chemical manufacturing, utility, and logistics verticals. Our AI Engineering team utilizes Maestro’s AI Pipeline to build scalable solutions addressing complex business challenges such as: Network Optimization, Yield Optimization, Throughput Optimization, Process Optimization, Utility Utilization, Predictive & Preventative Maintenance, Run-plan Scheduling, Pricing Strategies, Logistics within Planning & Scheduling, among others. The Maestro ecosystem is designed to be industry agnostic where the AI engineering team can optimize any business challenge presented to them through the utilization of the platform. Maestro’s AI pipeline applies a proprietary neural network, advanced machine learning techniques, generative AI, and large language model (LLM), all developed in-house, to deliver financial and operational improvements, optimize our client’s operations, and drive innovation within their organizations and within Elutions’ forward development. Our AI Engineering team represents the forefront of innovation at Elutions, delivering scalable AI solutions tailored to our clients’ domains while simultaneously incorporating lessons learned from previous deployments to preempt market trends and remain the world leader in operational AI applications.

Requirements

• Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, Computer Engineering, Statistics, or a related field, with preferably 1-3 years of experience developing AI or machine learning algorithms or technologies, but we will accept candidates who are newly graduated as well.
• Proficiency in Python and SQL, with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow.
• Familiarity with MLOps processes supporting the full lifecycle from model development to deployment in production environments.
• Experience in data science with machine learning algorithms and applying them in line with industry best practices.
• Experience building or working with large language model (LLM) applications, including retrieval-augmented generation (RAG) systems, with proficiency in LLM frameworks such as LangChain and LlamaIndex.

Responsibilities

• Develop and maintain existing AI pipeline (neural network, machine learning, LLM, etc.) to expand its capabilities, enable reliable knowledge retrieval & reasoning, and incorporate state-of-the-art technologies to further automate tasks and expand on the clients’ overall operational improvements. o Specific focus on the machine learning and large language model disciplines is a requirement
• Design and implement robust models, within the Maestro AI pipeline, and experiment with new approaches to support performance and KPI optimization.
• Design and implement agent-based workflows to support KPI analysis, performance monitoring, and multi-step analytical reasoning across data and models.
• Build and iterate-on efficient, maintainable prototypes, rigorously evaluate model performance from both statistical and business perspectives, and deploy scalable solutions to the production environment.
• Collaborate closely with in-house Domain Engineers to solve industrial/business problems utilizing the Maestro AI pipeline.
• Play a key role in communicating complex technical concepts clearly to non technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level