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Remote Scorekeeper Jobs in Alabama (NOW HIRING)

Houston Methodist

... be ad-hoc, remote/teleconferences, or face-to-face sessions with the entire research team ... Contributes towards improvement of department scores for employee engagement, i.e. peer-to-peer ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise ... scoring documentation Support iterative analytics configuration releases based on Government ...

Houston Methodist

... remote/teleconferences, or face-to-face sessions with the entire research team. * Serves as a ... Uses peer-to-peer accountability towards improvement of department score for employee engagement.

Arcoro

Manager of Customer Success

Birmingham, AL · On-site +1

We offer both on-site and remote opportunities. At Arcoro, you will help create software products ... Familiarity with customer journey mapping and health scoring frameworks. * Ability to influence ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... scorecards and remediation processes * Lead governance operationalization by embedding controls ...

Houston Methodist

... remote/teleconferences, or face-to-face sessions with the entire research team. * Serves as a ... Uses peer-to-peer accountability towards improvement of department score for employee engagement.

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise ... scoring documentation • Support iterative analytics configuration releases based on Government ...

Deckers

Remote US - Portland, OR preferred (or West Coast) Interested applicants must reside in one of the ... Define success metrics and a global scorecard with Analytics/Insights; monitor performance and ...

Arcoro

Manager of Customer Success

Birmingham, AL · On-site +1

We offer both on-site and remote opportunities. At Arcoro, you will help create software products ... Familiarity with customer journey mapping and health scoring frameworks. * Ability to influence ...

Beacon Software Inc

Account Executive - EDGE

Daphne, AL · On-site +1

Qualification - Score and validate opportunities against the ICP, run budget, authority, and timing ... Flexible working location (Open to onsite in Daphne, Alabama, hybrid and remote candidates in the ...

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Remote Scorekeeper information

What are the key skills and qualifications needed to thrive as a Remote Scorekeeper, and why are they important?

To thrive as a Remote Scorekeeper, you need strong attention to detail, mathematical accuracy, and a solid understanding of the sport's rules, often supported by prior experience in scorekeeping or officiating. Familiarity with digital scoring platforms, live-streaming software, and sometimes basic spreadsheet tools is typically required. Excellent communication, reliability, and the ability to remain focused under pressure are standout soft skills in this position. These abilities are crucial to ensure real-time, error-free score reporting and smooth coordination with event organizers and teams.

How does a Remote Scorekeeper effectively communicate and collaborate with officials and team members during live events?

As a Remote Scorekeeper, clear and timely communication with referees, coaches, and event coordinators is essential to ensure accurate record-keeping. Most organizations use digital platforms or communication tools (such as video calls, messaging apps, or proprietary scoring systems) to facilitate real-time updates and address any discrepancies quickly. Staying attentive, responsive, and organized helps maintain smooth event operations and fosters trust among team members, even when working from a distance.

What are remote scorekeepers?

Remote scorekeepers are individuals who record and track the scores and statistics of sporting events or competitions from a location outside the actual venue. They typically use specialized software or digital platforms to monitor live feeds, input data, and ensure the accuracy of official records. This role is essential for maintaining transparency and up-to-date information for teams, officials, and fans. Remote scorekeepers must be detail-oriented, have strong communication skills, and be comfortable with technology. The job is often performed for sports leagues, esports, or event management companies.
What are the most commonly searched types of Scorekeeper jobs in Alabama? The most popular types of Scorekeeper jobs in Alabama are:
What are popular job titles related to Remote Scorekeeper jobs in Alabama? For Remote Scorekeeper jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Scorekeeper jobs in Alabama look for? The top searched job categories for Remote Scorekeeper jobs in Alabama are:
Remote Scorekeeper jobs near you
Distinguished AI/ML Engineering Lead

Distinguished AI/ML Engineering Lead

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

$101K - $133K/yr

Full-time

Posted 17 days ago

Job description

Overview
FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
FTI Defense is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator - designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights.
This is a hands-on builder role, not an analytics management position. The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments. The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities.
Responsibilities
  • Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines.
  • Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems.
  • Lead the full AI/ML lifecycle - from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud).
  • Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs.
  • Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems.
  • Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection.
  • Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations.
  • Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs.
  • Collaborate across engineering, data, and modeling teams to unify FTI's AI portfolio, ensuring interoperability and reuse across mission systems.
  • Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks.

Education/Qualifications
  • Active Secret clearance required; TS/SCI strongly preferred.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's or Ph.D. preferred).
  • 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system).
  • Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks.
  • Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka.
  • Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments.
  • Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention.
  • Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.
  • Experience transitioning R&D systems into accredited production environments.
  • Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on.

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