As an AI/ML Engineer, you will utilize your expertise in machine learning and computer vision to develop and enhance advanced models, establish efficient data pipelines, and introduce innovative AI solutions. Collaboration with cross-functional teams to integrate these models into production systems, ensuring accuracy, scalability, and a keen focus on client requirements and the latest AI advancements is crucial. Responsibilities: - Build, train, and optimize machine learning models using suitable algorithms. - Conduct machine learning tests and experiments, document outcomes, and iterate to enhance model performance. - Develop optimized data pipelines for model training and deployment. - Stay updated on AI trends and incorporate new techniques as relevant. - Monitor and uphold deployed models to guarantee performance, accuracy, and scalability. - Apply computer vision techniques to pertinent projects. - Collaborate with cross-functional teams to integrate models into production systems. - Communicate effectively with clients, grasp their needs, and provide AI-driven solutions. Skills: - Solid grasp of probability, statistics, algorithms, and machine learning basics. - Proficiency in Python and ML libraries such as Pandas, NumPy, OpenCV, TensorFlow, PyTorch, and scikit-learn. - Experience in data analysis, model tuning, and deployment. - Strong problem-solving abilities and a willingness to learn. - Ability to convey technical ideas effectively. Qualifications: - Proven experience as a machine learning engineer or in a similar role. - Experience in creating, training, and optimizing ML models to enhance accuracy and performance. - Hands-on experience with computer vision projects. - Familiarity with the Python programming language. - Strong collaboration and communication skills. Job Type: Full-time Experience: - Total work: 3 years (Required) Work Location: In person,
As an AI/ML Engineer at our company, you will apply your expertise in machine learning and computer vision to develop and enhance advanced models, establish efficient data pipelines, and deliver cutting-edge AI solutions. Collaboration with cross-functional teams to seamlessly integrate these models into production systems, ensuring precision, scalability, and a keen focus on client requirements and the latest AI developments is key to success in this role. Responsibilities: - Build, train, and optimize machine learning models using suitable algorithms. - Conduct machine learning tests and experiments, meticulously document results, and iterate to enhance model performance. - Develop streamlined data pipelines for model training and deployment. - Stay abreast of AI trends and incorporate new techniques as relevant. - Monitor and uphold deployed models to guarantee performance, accuracy, and scalability. - Apply computer vision techniques to pertinent projects. - Engage with cross-functional teams to integrate models into production systems. - Communicate proficiently with clients, grasp their needs, and deliver AI-driven solutions effectively. Skills: - Solid grasp of probability, statistics, algorithms, and machine learning principles. - Proficiency in Python and ML libraries such as Pandas, NumPy, OpenCV, TensorFlow, PyTorch, and scikit-learn. - Experience in data analysis, model tuning, and deployment. - Strong problem-solving abilities and a proactive approach to learning. - Effective communication of technical concepts. Qualifications: - Demonstrated experience as a machine learning engineer or in a similar capacity. - Proficiency in creating, training, and optimizing ML models to enhance accuracy and performance. - Hands-on involvement with computer vision projects. - Familiarity with the Python programming language. - Strong collaboration and communication aptitude. In case you require any further information, feel free to reach out.,