Operations Specialist

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), machine learning, deep learning, and Natural Language Processing (NLP), with hands-on experience building and optimizing generative AI applications using open-source models and modern AI frameworks. Roles and Responsibilities Design, develop, and implement advanced AI and Generative AI solutions to address complex business requirements. Collaborate with engineers, researchers, product managers, and business stakeholders to translate business needs into scalable AI solutions. Collect, clean, prepare, and engineer data for training, fine-tuning, and evaluating AI models while ensuring data quality and integrity. Develop and optimize machine learning, deep learning, and NLP models for enterprise applications. Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and text-to-image generation techniques. Evaluate, compare, and optimize AI model architectures, hyperparameters, and performance metrics. Apply responsible AI practices by identifying model bias, improving fairness, and ensuring ethical AI development. Develop scalable AI solutions that integrate with enterprise applications and cloud platforms. Participate in model testing, deployment, monitoring, and continuous improvement. Contribute to AI best practices, technical documentation, and knowledge sharing across teams. Required Skills Strong proficiency in Python with major machine learning and deep learning libraries. Hands-on experience with open-source Large Language Models (LLMs) such as Llama, Dolly, or similar models. Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural networks, transformers, supervised and unsupervised learning. Experience with Generative AI techniques including text generation, text-to-image generation, and Generative Adversarial Networks (GANs). Experience with data preprocessing, feature engineering, SQL, and data manipulation. Familiarity with AI model evaluation, optimization, and hyperparameter tuning. Strong analytical, problem-solving, and communication skills. Preferred Skills Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience developing AI applications in both on-premises and cloud environments. Knowledge of CI/CD pipelines and AI application deployment practices. Familiarity with MLOps, model lifecycle management, and scalable AI deployment architectures. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Experience designing, developing, and deploying enterprise AI or Generative AI solutions. Ability to work effectively in cross-functional teams and deliver high-quality AI solutions in an agile environment. #J-18808-Ljbffr