1

Contract Ai Implementation Jobs in Alabama (NOW HIRING)

Implement monitoring and alerting for AI model performance and product KPIs. Conduct ongoing ... Six (6) years' related experience can be considered in lieu of degree (per contract vehicle)

Implement monitoring and alerting for AI model performance and product KPIs. Conduct ongoing ... Six (6) years' related experience can be considered in lieu of degree (per contract vehicle)

Implement monitoring and alerting for AI model performance and product KPIs. Conduct ongoing ... Six (6) years' related experience can be considered in lieu of degree (per contract vehicle)

Digital AI Development Engineer

Huntsville, AL · On-site

$49 - $67.25/hr

... contract managed by the Missile Defense Agency. What You'll Be Doing: * Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open ...

Digital AI Development Engineer

Huntsville, AL · On-site

$49 - $67.25/hr

... contract managed by the Missile Defense Agency. What You'll Be Doing: * Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open ...

Digital AI Development Engineer

Huntsville, AL · On-site

$90K - $124K/yr

... contract managed by the Missile Defense Agency. What You'll Be Doing:Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open ...

Analyze and optimize model performance, identify areas for improvement, and implement data-driven ... No Position Contingent Upon Award of Contract : No #LI-DK1 Benefits: Torch Technologies is proud to ...

Analyze and optimize model performance, identify areas for improvement, and implement data-driven ... No Position Contingent Upon Award of Contract : No #LI-DK1 Benefits: Torch Technologies is proud to ...

next page

Showing results 1-20

Contract Ai Implementation information

What is the difference between Contract Ai Implementation vs Data Scientist?

AspectContract Ai ImplementationData Scientist
Required CredentialsTypically requires AI/ML certifications, programming skills, and project management experienceRequires degrees in data science, statistics, or related fields, often with advanced degrees
Work EnvironmentProject-based, client-focused, often freelance or consulting rolesFull-time or research roles within organizations or academia
Industry UsageUsed across various industries for specific AI projectsApplied in data analysis, research, and model development within organizations

Contract Ai Implementation professionals focus on delivering AI solutions on a project basis, often working with clients and requiring specific certifications. Data Scientists typically work within organizations, conducting research and developing models, often with advanced degrees. Both roles overlap in technical skills but differ in work setting and scope.

What is a contract AI implementation specialist?

A Contract AI Implementation specialist is a professional who helps organizations integrate artificial intelligence solutions into their contract management processes. This role involves assessing business needs, selecting appropriate AI technologies, and overseeing the deployment of tools that automate tasks like contract analysis, risk assessment, and compliance monitoring. The specialist ensures that the AI system aligns with legal standards and company policies while streamlining workflows and improving efficiency. They often collaborate with legal, IT, and procurement teams to ensure a smooth transition and optimal use of AI in managing contracts.

What are the key skills and qualifications needed to thrive as a contract AI implementation specialist?

To thrive as a Contract AI Implementation Specialist, you need expertise in AI concepts, contract management, and a relevant technical or business degree, often with experience in legal tech or AI deployment. Familiarity with tools such as contract lifecycle management (CLM) platforms, machine learning frameworks, and data integration systems is typically required. Strong problem-solving, communication, and project management skills help you collaborate across legal, IT, and business teams. These skills ensure successful AI-driven contract solutions that streamline workflows, minimize risk, and deliver business value.

What are some common challenges faced by professionals in contract AI implementation roles, and how can they be addressed?

Professionals working in Contract AI Implementation often encounter challenges such as integrating AI solutions with existing contract management systems, ensuring data privacy and security, and managing change within the organization. To address these, it's important to work closely with IT and legal teams, prioritize stakeholder communication, and provide comprehensive training to end-users. Staying up to date with evolving AI technologies and regulatory requirements also helps in proactively identifying and mitigating risks during implementation.
What are the most commonly searched types of Ai Implementation jobs in Alabama? The most popular types of Ai Implementation jobs in Alabama are:
What cities in Alabama are hiring for Contract Ai Implementation jobs? Cities in Alabama with the most Contract Ai Implementation job openings:

Full-time

Re-posted yesterday


Job description

Location: HUNTSVILLE, AL, United States
Date Posted: Mar 4, 2025
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: On-Site
Job Description
Description
Seeking an AI Engineer with a strong background in data analytics and product development to join our innovative team in Huntsville, AL. This individual will be responsible for building, optimizing, and deploying AI-driven models, integrating data from multiple sources, and delivering actionable insights to inform strategic decisions. The ideal candidate is passionate about leveraging cutting-edge technologies to solve complex business challenges, has experience bringing AI products to market, and a track record of using data to improve processes, products, and services.
Job Responsibilities:
  • Design, build, and maintain ML/DL models for various AI applications. Continuously refine models for accuracy, efficiency, and scalability.
  • Analyze large datasets to identify patterns and insights. Develop hypotheses, design experiments, and validate findings using statistical methods.
  • Develop and maintain robust data pipelines ensuring data quality and usability. Collaborate with data engineering teams to optimize data infrastructure.
  • Support AI product development from prototyping to deployment and monitoring. Work with product managers, designers, and QA teams to integrate AI features.
  • Ensure scalable and efficient AI models and systems. Address latency and throughput to ensure a high-quality user experience.
  • Collaborate with product management and design teams for intuitive AI features. Translate complex AI functionalities into user-friendly interfaces.
  • Ensure AI solutions comply with privacy regulations (e.g., GDPR, CCPA). Maintain best practices for secure coding, data protection, and ethical AI.
  • Implement monitoring and alerting for AI model performance and product KPIs. Conduct ongoing maintenance to ensure accuracy and reliability.
  • Work with cross-functional teams to translate business requirements into technical solutions. Communicate project status, findings, and roadblocks to stakeholders.
  • Stay current with AI research, tools, and best practices. Recommend emerging AI techniques to enhance product strategies and business objectives.

Qualifications
Education Requirements:
  • Bachelors degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related field and two (2) years' experience; Six (6) years' related experience can be considered in lieu of degree (per contract vehicle).

Clearance Requirements:
  • Must possess an active Secret security clearance or have the ability to obtain one; US Citizenship required.

Required Experience/Skills:
  • 2+ years of experience working on AI, machine learning, or data analytics projects.
  • Proven track record of developing and deploying AI/ML models in a production environment.
  • Experience with product development life cycles and Agile methodologies is a plus.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with SQL and NoSQL databases, and data processing frameworks like Apache Spark or Hadoop.
  • Experience using analytics and visualization tools (e.g., Tableau, Power BI, matplotlib, Plotly).
  • Knowledge of cloud platforms (AWS, Azure, or GCP) for model deployment and data storage (preferred).
  • Strong problem-solving abilities and attention to detail.
  • Excellent communication and interpersonal skills for cross-team collaboration.
  • Ability to work independently and manage multiple projects simultaneously.

Desired Experience/Skills:
  • Master's degree in AI, Data Science, or a related field.
  • Experience with MLOps pipelines and CI/CD.
  • Background in UX/UI collaboration for AI-focused products.