Machine Learning Engineer

Role Overview: As a Machine Learning Engineer specializing in cognitive services, your role will involve developing, optimizing, and deploying machine learning models to enhance the intelligence of software products. You will collaborate with cross-functional teams to create intelligent applications and services that can interpret and respond to natural language, images, and other forms of data. Key Responsibilities: - Design, develop, and implement machine learning models and algorithms for cognitive services. - Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver innovative solutions. - Optimize machine learning models for scalability, efficiency, and performance. - Participate in data collection, labeling, and preprocessing efforts to support model training. - Stay up-to-date with the latest advancements in machine learning and cognitive services. Qualifications Required: - Bachelor's or Master's degree in computer science, machine learning, or a related field. - 2+ years of practical experience in machine learning, deep learning, and natural language processing. - Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries. - Strong programming skills in languages such as Python. - Experience in deploying machine learning models into production environments. - Knowledge of cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker). - Excellent problem-solving and analytical skills. - Strong communication skills and the ability to collaborate effectively in a team. - Understanding of vector spaces. Additional Company Details (if applicable): You may have the opportunity to work on computer vision, image recognition, speech recognition, audio processing, chatbots, virtual assistants, and reinforcement learning. Open-source contributions or personal machine learning projects are also valued within our organization.,