Qureos Mentor

Optimal Inc.

<div>Job Title:
Worker's Compensation Plant Representative 
 
Position Description:
Primary Workers' Compensation Claims Handler at the Plant with a focus on excellent customer service, quality claims handling, and loss cost management. Plant-based position
Skills Required:
Workers' Compensation
Experience Required:
3-5 years of Workers' Compensation claims management experience
Education Required:
High School Diploma / GED
Education Preferred:
Bachelor's Degree
Additional Information:
Analyze and process complex or technically difficult workers' compensation claims by investigating and gathering information to determine the exposure on the claim.
Ability to handle a full case load, with proven ability to handle cases of increased severity.
Workers' Compensation Lost Time claim handling experience .
Manage claims through well-developed action plans to ensure timely and cost-effective resolutions.
Calculate and assign timely and appropriate reserves to claims; manages reserve adequacy throughout the life of the claim.
Calculate and pay benefits due; approve and make timely claim payments and adjustments; and settle claims within designated authority level.
Prepare necessary state fillings within statutory limits.
Coordinate vendor referrals for additional investigation and/or litigation management.
Use appropriate cost containment techniques including strategic vendor partnerships to reduce overall cost of claims.
Manage claim recoveries, including but not limited to: subrogation, Second Injury Fund excess recoveries and Social Security and Medicare offsets.
Report claims to the excess carrier.
Communicate claim activity and processing with the claimant and the client.
Ensure claim files are properly documented, and claims coding is correct.
Refer cases as appropriate to supervisor and management.<ul><li> 
Position is Fully Onsite</li></ul></div>

Worker's Compensation Plant Representative

<div>Machine Learning Research Engineer (ScientificEngineering AI) 
Urgent Hiring Requirement
Minimum Qualification: PhD in a relevant technical field.
This is an urgent requirement with an anticipated start date within 2 weeks. Priority will be given to candidates who can interview promptly and begin within two weeks of selection.
Job Summary
We are seeking a highly motivated Machine Learning Research Engineer (ScientificEngineering AI) with strong expertise in Machine Learning, Deep Learning, Computer Vision, and AI research. This role is intended exclusively for PhD graduates or candidates near completion from reputable universities.
Candidates with a strong academic research background in Machine Learning, Artificial Intelligence, Computer Vision, Data Science, Scientific Computing, Mechanical Engineering, Materials Science, Manufacturing Engineering, Applied Physics, Computational Engineering, or related fields are encouraged to apply.
Ideal candidates will combine strong ML/DL expertise with domain knowledge in mechanical engineering, materials science, manufacturing systems, physical systems, scientific computing, or simulation-driven engineering applications.
Research experience gained during a PhD program will be considered equivalent to professional industry experience.
This is an urgent hiring requirement, and we are actively seeking candidates who can start within the next 2 weeks.
Education Requirement 
PhD in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, Data Science, Mechanical Engineering, Materials Science, Manufacturing Engineering, Applied Physics, Computational Engineering, or a related technical field. 
Candidates currently pursuing a PhD with anticipated graduation within the next 3-6 months are also encouraged to apply. 
Only PhD candidates will be considered for this role. 
Candidates with only a Master's degree will not be considered. 
Key Responsibilities 
Design, develop, train, and optimize Machine Learning and Deep Learning models for real-world applications. 
Own the complete ML lifecycle including data collection, annotation, preprocessing, model training, fine-tuning, evaluation, optimization, and deployment. 
Develop and deploy advanced deep learning architectures including CNNs, LSTMs, ConvLSTMs, Graph Neural Networks (GNNs), Reinforcement Learning, and Transformer-based models. 
Conduct experiments, evaluate model performance, and drive continuous algorithmic improvements. 
Work with large-scale datasets for model training, validation, and testing. 
Optimize and deploy AI models for scalable and efficient real-world applications. 
Translate research concepts into scalable, production-ready AI systems. 
Collaborate with cross-functional engineering and research teams to integrate ML models into real-world applications. 
Document methodologies, experimental findings, and technical solutions. 
Contribute to technical innovation initiatives and advanced AI research activities. 
Required Qualifications 
Strong PhD research background in Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision, Data Science, Scientific Machine Learning, Computational Engineering, Applied Physics, Materials Informatics, or related areas. 
Strong programming experience with Python and C++. 
Hands-on experience with PyTorch, TensorFlow, Keras, Scikit-learn, or similar ML frameworks. 
Strong understanding of Machine Learning, Deep Learning, Neural Networks, Computer Vision, and AI algorithms. 
Experience developing and training advanced deep learning models and architectures. 
Solid mathematical foundation in linear algebra, probability, statistics, optimization, and applied machine learning. 
Experience working with Linux environments, Git, Docker, and modern development workflows. 
Demonstrated research experience through publications, thesis work, academic research projects, or equivalent research contributions. 
Strong ability to independently research, prototype, and deploy AI solutions. 
Experience applying machine learning or deep learning techniques to engineering, manufacturing, materials science, physical systems, scientific computing, simulation, or industrial applications is highly desirable. 
Preferred Qualifications 
Publications in leading AI, Machine Learning, Computer Science, Scientific Computing, Computational Engineering, Materials Science, or Applied Physics conferences and journals. 
Experience transitioning AI/ML models from research environments into production systems. 
Experience with CUDA, GPU acceleration, distributed computing, high-performance computing (HPC), or parallel computing environments. 
Experience handling large-scale, real-world datasets. 
Familiarity with Physics-Informed Machine Learning (PIML), Physics-Informed Neural Networks (PINNs), scientific foundation models, digital twins, simulation-driven AI, or engineering optimization techniques. 
Experience working with data generated from CAD, CAE, CFD, FEA, multiphysics simulations, manufacturing processes, materials characterization, laboratory testing, or other engineering and scientific workflows. 
Technical Skills 
Python, C++ 
PyTorch, TensorFlow, Keras, Scikit-learn 
Machine Learning and Deep Learning 
Computer Vision 
Reinforcement Learning 
Graph Neural Networks (GNNs) 
Transformer Architectures 
Linux, Git, Docker 
CUDA and GPU Computing 
Scientific Computing and Optimization 
Physics-Informed Machine Learning (Preferred) 
Engineering and Scientific Data Analysis (Preferred)</div>

Machine Learning Research Engineer (Scientific & Engineering AI)

<div>Job Title: Agentic AI Developer
We are seeking a highly skilled Agentic AI Developer to support advanced R&amp;D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.
The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.
Key Responsibilities<ul><li>
Design and develop agentic AI systems using GPT-style and other large language model architectures</li><li>
Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory</li><li>
Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving</li><li>
Build scalable context management frameworks to support dynamic, multi-turn conversations</li><li>
Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation</li><li>
Collaborate with cross-functional R&amp;D teams to integrate agent-based solutions into innovative products and research initiatives</li><li>
Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities</li><li>
Document system designs, experiments, and technical findings</li></ul>
Required Qualifications<ul><li>
3-5 years of industry experience in AI/ML, LLM development, or agent-based systems</li><li>
Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)</li><li>
Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures</li><li>
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques</li><li>
Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)</li><li>
Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus</li><li>
Strong problem-solving skills and ability to work in research-oriented, collaborative environments</li></ul>
Qualifications<ul><li>
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li><li>
Experience contributing to research publications, open-source projects, or experimental AI platforms</li></ul></div>

Agentic AI Developer

Join Optimal Inc. and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Optimal Inc.

About Company

Worker's Compensation Plant Representative

Machine Learning Research Engineer (Scientific & Engineering AI)

Agentic AI Developer