Job Description
Job Description Salary:
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 anAI Engineerwith a strong background in data analytics and product development to join our innovative team inHuntsville, 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 inComputer 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 modelsin a production environment.
Experience with product developmentlife 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 NoSQLdatabases, and data processing frameworks like Apache Sparkor 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-solvingabilities and attention to detail.
Excellent communicationand interpersonal skills for cross-team collaboration.
Ability to work independently and manage multiple
projectssimultaneously.
Desired Experience/Skills:
Masters degree in AI, Data Science, or a related field.
Experience with MLOps pipelinesand CI/CD.
Background in UX/UI collaborationfor AI-focused products.