Artificial Intelligence Engineer
at Jobr
Pittsburgh, PA, United States, remote, senior, USD 90,000–1,15,000 / year, 5+ years
seen 22d ago
- PySpark
- Hugging Face Transformers
- Kafka
- NumPy
- NLTK
- Apache Airflow
- PyTorch
- Oracle Cloud Infrastructure
- Docker
- Optimization Techniques
- Algorithm Design
- AWS
- Linear Algebra
- Python
- TensorFlow
- SpaCy
- Matplotlib
- Azure
- Scikit-learn
- Statistics
- SQL
- Google Cloud
- Pandas
- Seaborn
- Kubernetes
About the role
Seniority LevelsNo PreferencePast 2 WeeksRelevance
Filters1
Artificial Intelligence Engineer Jobs
As an Artificial Intelligence Engineer, you will be at the forefront of developing cutting-edge AI solutions that revolutionize industries. From enhancing customer experiences with personalized recommendations to optimizing business operations through predictive analytics, your expertise in AI and machine learning will drive innovation. With a high demand for AI talent across sectors like healthcare, finance, and technology, mastering skills in TensorFlow, Python, and algorithm development can catapult your career. Explore the exciting possibilities and future advancements in AI technology, along with attractive salary ranges, in our comprehensive article.
Not looking for artificial intelligence engineer roles? Jobr also lists openings for data scientist , data analyst , machine learning engineer , and data engineer — all sourced directly from company career portals and updated daily.
Back
Artificial Intelligence Engineer
Apply
Workplace Type
Remote
What they are looking for
Senior Level
Loading...
Loading description…
Howmet 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 surrounding applications and data pipelines. -
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.
Read from jobr.pro, last seen 4d ago.