AI Developer

Job Description: 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. You also have practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch. Key Responsibilities: - 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 Qualifications Required: - 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 Please note that this job is a Full-time position with an in-person work location, and the schedule is a day shift.,