Please go through below role and let me know your interest
Role: Sr. AI Platform Developer
Location: Herndon VA (Hybrid/Local)
Duration: 12 Months Contract
Hybrid Office: Must be in office at least 4 days per week (Herndon VA) with the expectation that there may be weeks where 5 days are required.
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.
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Ashish
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Hi Please go through below role and let me know your interest Role: Sr. AI Platform Developer Location: Herndon VA (Hybrid/Local) Duration: 12 Months Contract Hybrid Office: Must be in office at least 4 days per week (Herndon VA) with the expectation that there may be weeks where 5 days ar...
Hi
Please go through below role and let me know your interest
Role: Sr. AI Platform Developer
Location: Herndon VA (Hybrid/Local)
Duration: 12 Months Contract
Hybrid Office: Must be in office at least 4 days per week (Herndon VA) with the expectation that there may be weeks where 5 days are required.
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.