Howmet Aerospace

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Artificial Intelligence Engineer (Finance)



Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $6.6 billion in revenue in 2023, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2023 Environmental Social and Governance report at www.howmet.com/esg-report . Follow: LinkedIn , Twitter , Instagram , Facebook , and YouTube .

Equal Opportunity Employer:

Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.

If you need assistance to complete your application due to a disability, please email TalentAcquisitionCoE_Howmet@howmet.comBasic Qualifications:

  • 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. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position

Preferred Qualifications:
  • Experience using the following python packages
    • Machine Learning - TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
    • Data Manipulation and visualization - Pandas, NumPy, and data visualization libraries such as Matplotlib or Seaborn.
  • Familiarity with cloud platforms (Oracle, AWS, Google Cloud, Azure) and deployment tools like Docker and Kubernetes. Specifically, Oracle Cloud Infrastructure a plus.
  • Experience with NLP libraries such as SpaCy, NLTK, or Hugging Face Transformers is advantageous.

Salary Range: $100k - $120k/year approximation (actual compensation is subject to variation due to factors such as education, experience, skillset, and/org location).

Expected travel is less than 5% in this role.

*Role has a hybrid work schedule: 3 days in the office 2 days remote.

Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.

If you need assistance to complete your application due to a disability, please email TalentAcquisitionCoE_Howmet@howmet.comHowmet Aerospace Inc. ("Howmet") is currently in search of an Artificial Intelligence Engineer to join the Global Information Systems (GIS) organization at the Howmet Corporate Center in Pittsburgh, PA.

In this role you will be responsible for developing and deploying artificial intelligence models and applications.

Major activities/Key challenges:

  • Model Development and Training
    • Design and build machine learning and deep learning models tailored to solve specific business problems.
    • Train, evaluate, and fine-tune models using appropriate datasets and techniques.
  • Application Integration
    • Deploy AI models into production and integrate them with existing systems or applications.
    • Design APIs or interfaces for models to interact with external applications.
  • Data Management
    • Collect, preprocess, and clean datasets to ensure data quality and relevance.
    • Collaborate with data engineers to optimize pipelines for efficient data handling.
  • Performance Optimization
    • Monitor the performance of deployed models and update them as needed.
    • Optimize model performance for speed, accuracy, and scalability.
  • Research and Innovation
    • Stay updated with the latest AI and machine learning research and integrate new methodologies where applicable.
    • Experiment with state-of-the-art tools and technologies to improve current solutions.
  • Collaboration and Communication
    • Work closely with cross-functional teams, including data engineers, application developers and analysts, and business stakeholders.
    • Translate complex AI concepts into actionable business insights.

Essential knowledge, skills and abilities:
  • Strong verbal and written communications skills and ability to interact with customers, vendors, other IT professionals, and management; can communicate technical information effectively across all levels of the organization
  • Practices continuous learning, interested in learning and mastering new technologies and techniques to improve processes and systems
  • Sound decision making, capable of resolving open items swiftly and efficiently
  • Strong aptitude to plan and prioritize own work to manage multiple priorities and meet deadlines
  • Solid project management and organizational skills including documenting and optimizing processes
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