Manage assigned casework, conduct asset investigations, determine estate liabilities, and ensure compliance with recovery regulations while providing empathetic support to individuals navigating sensitive situations.

• Drive Agile and AI transformation initiatives across Product Teams and Agile Release Trains (ARTs) • Coach teams, Product Owners, and leaders on Agile principles, Product mindset, and AI-enabled ways of working • Support the adoption of AI tools and capabilities in everyday delivery activities, including planning, development, testing, and operations • Facilitate workshops, training sessions, and learning initiatives related to Agile, Product Management, AI literacy, and prompt engineering • Help teams identify and implement AI use cases that improve productivity, quality, and delivery outcomes • Contribute to the evolution of the organization's operating model, frameworks, standards, and ways of working • Promote experimentation, continuous improvement, and data-driven decision making • Establish and monitor Agile and AI adoption metrics, identifying opportunities for optimization • Partner with leadership to align transformation activities with business objectives • Support Communities of Practice and knowledge-sharing initiatives across the organization • Promote responsible AI practices, governance, compliance, and ethical AI usage

Role Description We are seeking a highly skilled, fellowship-trained Musculoskeletal (MSK) Radiologist to join a growing team of subspecialty radiologists. This is an excellent opportunity for a motivated physician who thrives in a high-volume, outpatient environment and is passionate about delivering exceptional diagnostic care. As an MSK teleradiologist, you will provide expert interpretations of musculoskeletal imaging studies while collaborating closely with referring physicians, technologists, and operational leadership to ensure timely, accurate, and patient-centered results across our network of imaging centers. Essential Duties & Responsibilities - Interpret and deliver timely reports for a high volume of MSK imaging studies, including MRI, CT, X-ray, and Ultrasound - Maintain exceptional diagnostic accuracy and image quality standards - Consult with referring physicians on complex findings and provide imaging recommendations - Participate in peer review, quality assurance, and continuous improvement initiatives - Collaborate with technologists to optimize protocols and ensure best-in-class image quality - Provide subspecialty expertise in sports medicine, orthopedics, trauma, spine, and soft tissue imaging - Perform or support image-guided musculoskeletal procedures (preferred) - Participate in on-call coverage and scheduling as needed - Meet or exceed established report turnaround time metrics in a fast-paced setting - Ensure full compliance with all federal, state, and accreditation requirements Leadership & Professional Responsibilities - Support the organization’s mission, vision, and values - Serve as a clinical resource and mentor to physicians, technologists, and staff - Contribute to protocol development and best practice initiatives - Participate in departmental meetings, committees, and medical staff activities - Maintain active CME and board certification requirements - Foster strong relationships with patients, referring providers, and the care team Qualifications - Doctor of Medicine (MD) or Doctor of Osteopathic Medicine (DO) from an accredited medical school - Completion of an accredited Diagnostic Radiology Residency - Completion of an accredited Musculoskeletal Imaging Fellowship - Current unrestricted Texas Medical Board Physician License - Board Certified or Board Eligible in Diagnostic Radiology (ABR or equivalent) - Current DEA registration (if performing procedures) - Current BLS certification (or ability to obtain) - Minimum 5 years of experience practicing as a licensed Radiologist in Texas - Minimum 5 years of focused experience interpreting musculoskeletal imaging in a clinical setting - Strong proficiency in MRI, CT, X-ray, and ultrasound of the musculoskeletal system - Experience in outpatient imaging environments strongly preferred Preferred Qualifications - Fellowship training in Musculoskeletal Radiology - Experience with advanced orthopedic and sports medicine imaging - Proficiency with PACS, RIS, and EMR systems - Prior involvement in ACR accreditation, peer review, or QA programs Benefits We believe this is a fantastic opportunity for the right candidate to practice at a high level in a supportive, physician-centric environment. If you are a fellowship-trained MSK Radiologist looking to join a dynamic and growing practice, we would love to hear from you! Please click apply -OR- forward your CV to contact@medatlantichcs.com! We look forward to exploring this opportunity with you.

Role Description Join a leading AI lab's cutting-edge Generative AI team and play a key role in developing next-generation large language models. We are seeking experienced MLOps and ML Systems Engineers with deep expertise in PyTorch and kernel-level programming frameworks such as Triton or Pallas. This is a full-time (40 hours/week) engagement supporting high-impact AI research and engineering efforts. - Partner with research and engineering teams to identify and address knowledge gaps in MLOps, machine learning infrastructure, and model training systems. - Design challenging, real-world tasks focused on distributed training, ML frameworks, model optimization, and infrastructure engineering. - Develop accurate, well-structured solutions to complex MLOps and ML systems problems. - Evaluate technical tasks and solutions, providing detailed and actionable feedback. - Create evaluation frameworks and scoring rubrics for training pipeline architecture, distributed systems reasoning, performance optimization, and kernel-level programming. - Contribute domain expertise to improve AI model capabilities in machine learning engineering topics. - Collaborate with other subject matter experts to ensure consistency, quality, and technical accuracy across datasets and evaluations. Qualifications - 2+ years of professional experience in ML Infrastructure, MLOps, ML Systems Engineering, or a closely related field. - Strong hands-on experience building and operating production-scale machine learning systems. - Advanced proficiency with PyTorch, including model training, optimization, and deployment workflows. - Experience developing, tuning, or optimizing custom GPU kernels using Triton, Pallas, or similar frameworks. - Demonstrated career growth and increasing technical responsibility. - Ability to commit to a full-time, 40-hour-per-week schedule during standard business days. - Excellent written communication skills and the ability to clearly explain complex technical concepts and engineering decisions. Requirements - Experience with large-scale distributed training frameworks and infrastructure. - Knowledge of GPU performance optimization and compiler-level ML tooling. - Familiarity with modern AI training pipelines, model evaluation methodologies, and LLM development workflows. - Experience mentoring engineers or contributing to technical standards and best practices. - Background in cloud-native ML infrastructure and production deployment environments. Benefits - Work alongside leading AI researchers and engineers on frontier AI systems. - Influence the development and evaluation of next-generation large language models. - Apply your expertise to solve challenging machine learning infrastructure and optimization problems. - Contribute to high-impact projects at the forefront of AI innovation. Additional Information - Full-time engagement requiring 40 hours per week. - Dedicated commitment is expected during the engagement period. - Responsibilities and project scope may evolve based on research priorities and business needs. Equal Opportunity Statement All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.