Job Title: Sr. AI Platform Developer
Job Location: Herndon VA
Job Type: Contract
Job Description:
- Programming Languages: Mastery of Python is essential with R Java and C also being highly valuable.
- Machine Learning (ML) & Deep Learning (DL): Youll need a deep understanding of ML concepts (supervised unsupervised reinforcement learning) and neural network architectures like CNNs and RNNs.
- AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow PyTorch Keras and scikit-learn.
- Data Science and Analysis: Skills in data acquisition cleaning preprocessing and feature engineering are crucial along with knowledge of SQL and NoSQL databases.
- Big Data Technologies: Familiarity with platforms like Apache Spark and
- OpenSearch is often necessary for handling large-scale data.
- Mathematics and Statistics: A strong foundation in linear algebra calculus probability and statistics is fundamental.
- Natural Language Processing (NLP): For language-based AI expertise in NLP techniques and libraries such as NLTK spaCy and Hugging Face Transformers is key.
- Cloud Computing and MLOps: Knowledge of cloud platforms (AWS GCP Azure) and
- MLOps principles is vital for deploying and managing AI models.
Job Title: Sr. AI Platform Developer Job Location: Herndon VA Job Type: Contract Job Description: Programming Languages: Mastery of Python is essential with R Java and C also being highly valuable. Machine Learning (ML) & Deep Learning (DL): Youll need a deep understanding of ML concepts (supervise...
Job Title: Sr. AI Platform Developer
Job Location: Herndon VA
Job Type: Contract
Job Description:
- Programming Languages: Mastery of Python is essential with R Java and C also being highly valuable.
- Machine Learning (ML) & Deep Learning (DL): Youll need a deep understanding of ML concepts (supervised unsupervised reinforcement learning) and neural network architectures like CNNs and RNNs.
- AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow PyTorch Keras and scikit-learn.
- Data Science and Analysis: Skills in data acquisition cleaning preprocessing and feature engineering are crucial along with knowledge of SQL and NoSQL databases.
- Big Data Technologies: Familiarity with platforms like Apache Spark and
- OpenSearch is often necessary for handling large-scale data.
- Mathematics and Statistics: A strong foundation in linear algebra calculus probability and statistics is fundamental.
- Natural Language Processing (NLP): For language-based AI expertise in NLP techniques and libraries such as NLTK spaCy and Hugging Face Transformers is key.
- Cloud Computing and MLOps: Knowledge of cloud platforms (AWS GCP Azure) and
- MLOps principles is vital for deploying and managing AI models.
View more
View less