Senior AI Engineer

As a Senior AI/ML Engineer in the Artificial Intelligence / Data Science department, you will play a crucial role in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions. Your expertise will be instrumental in building scalable AI systems and applying advanced techniques to solve real-world problems. Collaboration with leadership and cross-functional teams will be essential to drive innovation and deliver impactful AI solutions. Key Responsibilities: - Design, develop, and deploy AI/ML models for real-world applications. - Work on advanced solutions incorporating machine learning, deep learning, and AI-driven automation. - Develop and optimize models in computer vision, predictive analytics, and intelligent systems. - Implement and manage MLOps pipelines for model training, deployment, monitoring, and scaling. - Apply Generative AI techniques to create intelligent systems like AI assistants, content generation models, and automation tools. - Collaborate with engineering and product teams to seamlessly integrate AI models into production systems. - Ensure model performance, scalability, and reliability in production environments. - Stay abreast of the latest advancements in AI, machine learning, and data science technologies. Required Qualifications: - 7 years of experience in data science, computer vision, and MLOps. - Proficiency in Generative AI techniques. - Strong skills in Python and AI/ML frameworks such as TensorFlow, PyTorch, or similar tools. - Hands-on experience in model deployment, cloud platforms, and AI system architecture. - Familiarity with data pipelines, large datasets, and model optimization techniques. - Excellent analytical, problem-solving, and communication skills. Preferred Skills: - Masters or PhD in Computer Science, Artificial Intelligence, Data Science, or related field. - Experience in Generative AI models like LLMs, diffusion models, or similar technologies. - Knowledge of AI deployment in production environments and cloud platforms. - Experience in developing scalable AI products and end-to-end ML pipelines. Location: [Company Location] Employment Type: Full-time Job Types: Full-time, Permanent Pay: 700,000.00 - 1,000,000.00 per year Work Location: In person As a Senior AI/ML Engineer in the Artificial Intelligence / Data Science department, you will play a crucial role in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions. Your expertise will be instrumental in building scalable AI systems and applying advanced techniques to solve real-world problems. Collaboration with leadership and cross-functional teams will be essential to drive innovation and deliver impactful AI solutions. Key Responsibilities: - Design, develop, and deploy AI/ML models for real-world applications. - Work on advanced solutions incorporating machine learning, deep learning, and AI-driven automation. - Develop and optimize models in computer vision, predictive analytics, and intelligent systems. - Implement and manage MLOps pipelines for model training, deployment, monitoring, and scaling. - Apply Generative AI techniques to create intelligent systems like AI assistants, content generation models, and automation tools. - Collaborate with engineering and product teams to seamlessly integrate AI models into production systems. - Ensure model performance, scalability, and reliability in production environments. - Stay abreast of the latest advancements in AI, machine learning, and data science technologies. Required Qualifications: - 7 years of experience in data science, computer vision, and MLOps. - Proficiency in Generative AI techniques. - Strong skills in Python and AI/ML frameworks such as TensorFlow, PyTorch, or similar tools. - Hands-on experience in model deployment, cloud platforms, and AI system architecture. - Familiarity with data pipelines, large datasets, and model optimization techniques. - Excellent analytical, problem-solving, and communication skills. Preferred Skills: - Masters or PhD in Computer Science, Artificial Intelligence, Data Science, or related field. - Experience in Generative AI models like LLMs, diffusion models, or similar technologies. - Knowledge of AI deployment in production environments and cloud platforms. - Experience in developing scalable AI products and end-to-end ML pipelines. Location: [Company Location] Employment Type: Full-time Job Types: Full-time, Permanent Pay: 700,000.00 - 1,000,000.00 per year Work Location: In person