AI Developer

You have a strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch. Familiarity with Java or C++ is a plus. You have a solid grasp of linear algebra, probability, statistics, and algorithms for model development. Additionally, you have practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch. Your ability includes collecting, cleaning, transforming, and analyzing data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop). You have experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes. You are also familiar with command-line tools and Unix-based system administration. Moreover, you are skilled in analyzing datasets and visualizing results using Python, R, or similar tools. You understand ethical AI development, bias mitigation, and compliance with data privacy laws. - Strong proficiency in Python with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch - Familiarity with Java or C++ is a plus - Solid grasp of linear algebra, probability, statistics, and algorithms for model development - Practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch - Ability to collect, clean, transform, and analyze data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop) - Experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes - Familiarity with command-line tools and Unix-based system administration - Skilled in analyzing datasets and visualizing results using Python, R, or similar tools - Understanding of ethical AI development, bias mitigation, and compliance with data privacy laws This job is a Full-time position with an in-person work location. The schedule is for a Day shift. You have a strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch. Familiarity with Java or C++ is a plus. You have a solid grasp of linear algebra, probability, statistics, and algorithms for model development. Additionally, you have practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch. Your ability includes collecting, cleaning, transforming, and analyzing data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop). You have experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes. You are also familiar with command-line tools and Unix-based system administration. Moreover, you are skilled in analyzing datasets and visualizing results using Python, R, or similar tools. You understand ethical AI development, bias mitigation, and compliance with data privacy laws. - Strong proficiency in Python with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch - Familiarity with Java or C++ is a plus - Solid grasp of linear algebra, probability, statistics, and algorithms for model development - Practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch - Ability to collect, clean, transform, and analyze data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop) - Experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes - Familiarity with command-line tools and Unix-based system administration - Skilled in analyzing datasets and visualizing results using Python, R, or similar tools - Understanding of ethical AI development, bias mitigation, and compliance with data privacy laws This job is a Full-time position with an in-person work location. The schedule is for a Day shift.