Senior Machine Learning Engineer

Role Summary This role is a great fit for experienced Machine Learning Engineers who are enthusiastic about generative AI and eager to push the boundaries of AI/ML technologies. You will play a vital role in designing and implementing cutting-edge solutions that leverage generative models. Responsibilities - Develop and optimize machine learning models focused on generative AI applications. - Implement MLOps practices to streamline deployment, monitoring, and maintenance of ML models. - Collaborate with cross-functional teams to gather requirements and deliver data-driven insights. - Conduct experiments to validate models and enhance performance while ensuring scalability. - Stay updated on the latest trends in machine learning and generative AI; apply findings to improve existing products. Must-Have Skills - Strong experience in machine learning frameworks (TensorFlow, PyTorch, etc.). - Proficiency in generative AI methodologies and applications. - Familiarity with MLOps tools and best practices for model deployment. - Solid understanding of core ML algorithms and techniques. - Programming proficiency in Python or similar languages. Good-to-Have Skills - Experience with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. - Exposure to natural language processing (NLP) or computer vision projects. - Knowledge of containerization technologies such as Docker or Kubernetes. Take the next step in your career by applying today!