Artificial Intelligence Engineer

Howmet Aerospace

. Develop and deploy artificial intelligence models, surrounding applications, and data pipelines .

Posted 10/9/2026full-timePittsburgh • Pennsylvania • United StatesMid-LevelSenior💰 $90,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI models, optimizing performance, and integrating with existing systems. Proficient in data pipeline creation, machine learning frameworks, and translating complex AI concepts into actionable insights.

Highest-signal resume keywords

AI Model DevelopmentMachine Learning FrameworksData Pipeline DevelopmentSQL and Python ProficiencyCloud Platform Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceMachine LearningDeep LearningData ManipulationData VisualizationLinear AlgebraStatisticsOptimization TechniquesAlgorithm DesignNatural Language Processing

Soft Skills

CommunicationCollaborationTime ManagementProblem SolvingPrioritization

Tools & Technologies

TensorFlowPyTorchScikit-learnPandasNumPyMatplotlibSeabornDockerKubernetesAWS

Certifications & Qualifications

Technical Bachelor's Degree

Industry Keywords

Data ScienceData EngineeringCloud TechnologiesAI ResearchData Pipelines

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerKafkaKubernetesNumpyOraclePandasPySparkPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Develop and deploy artificial intelligence models, surrounding applications, and data pipelines
Design and build machine learning and deep learning models for specific business problems
Train, evaluate, and fine-tune models using appropriate datasets and techniques
Deploy AI models into production and integrate them with existing systems or applications
Design APIs or interfaces for models to interact with external applications
Collect, preprocess, and clean datasets
Create and optimize data pipelines for efficient data handling
Monitor deployed model performance and update models as needed
Optimize model performance for speed, accuracy, and scalability
Stay current with AI and machine learning research
Experiment with state-of-the-art tools and technologies
Collaborate with data engineers, application developers, analysts, and business stakeholders
Translate complex AI concepts into actionable business insights
Communicate technical information across all levels of the organization
Plan and prioritize work, manage multiple priorities, meet deadlines, and document and optimize processes

Requirements

What you’ll need

Technical bachelor's degree from an accredited institution
Minimum of 5 years of experience in Information Technology
2+ years prior experience in analytics and/or data science
Working knowledge of SQL and Python
Strong grasp of linear algebra, statistics, optimization techniques, and algorithm design
Employees must be legally authorized to work in the United States
Visa sponsorship is not available for this position
Exposure to data engineering/data pipeline development
Experience using Python packages
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
Experience with data manipulation and visualization packages such as Pandas, NumPy, Matplotlib, or Seaborn
Familiarity with cloud platforms including Oracle, AWS, Google Cloud, and Azure
Familiarity with deployment tools such as Docker and Kubernetes
Familiarity with integrating cloud technologies with legacy applications
Experience creating architecture with network segmentation in mind
Experience with NLP libraries such as SpaCy, NLTK, or Hugging Face Transformers
Exposure to Python data packages and streaming technologies such as PySpark, Kafka, Apache Airflow, and delta loading