AI Engineers
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Key skills for this role
Key Skills for This Role
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Primary Skills
- The primary domain is turbomachinery, specifically steam turbines and rotors.
- Strong proficiency in Python is required.
- Required technologies include Scikit-learn, TensorFlow or PyTorch, Pandas, and NumPy.
- Required knowledge includes machine learning algorithms, deep learning, statistics, probability, and NLP or computer vision techniques.
Key Responsibilities
- Design, develop, and deploy machine learning and AI models.
- Build and maintain data pipelines for training and inference.
- Implement supervised and unsupervised learning algorithms.
- Develop NLP, computer vision, or deep learning solutions.
- Optimize models for performance, scalability, and accuracy.
- Collaborate with data engineers, analysts, and product teams.
- Deploy models using AWS, Azure, GCP, or other cloud platforms.
- Monitor model performance and perform continuous improvements.
- Conduct data preprocessing, feature engineering, and model evaluation.
- Document models, processes, and experiments.
Required Qualifications
- Strong proficiency in Python.
- Experience with Scikit-learn, TensorFlow or PyTorch, Pandas, and NumPy.
- Experience with regression, classification, and clustering algorithms.
- Familiarity with deep learning frameworks and NLP or computer vision techniques.
- Experience deploying models through APIs or microservices.
- Strong understanding of statistics and probability.
Preferred Skills
- Experience with generative AI or LLMs such as GPT, LangChain, or Hugging Face.
- Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow.
- Experience with Docker, Kubernetes, Spark, or PySpark.
- Familiarity with REST APIs, microservices architecture, and cloud AI services.
- Understanding of vector databases, embeddings, CI/CD pipelines, or DevOps practices.
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