Generative AI- Deep Learning Engineer

We are seeking a highly skilled professional for the position of Generative AI Fine Tuning and Proning within our esteemed Computer Software company. This role is pivotal in advancing our generative AI capabilities, ensuring that our models are finely tuned and effectively pruned for optimal performance. The ideal candidate will possess a strong background in machine learning, natural language processing, and deep learning frameworks. You will work collaboratively with our data science and engineering teams, focusing on enhancing the efficiency and effectiveness of generative models. Your expertise in fine-tuning processes and your ability to implement advanced pruning techniques will directly contribute to the deployment of innovative AI solutions. As a member of our team, you will be tasked with exploring state-of-the-art methods and techniques, aiming to lead our projects with cutting-edge research insights. You will be expected to maintain high standards of performance and reliability in our AI systems, thereby driving our commitment to excellence and innovation in the software industry. This position presents an exciting opportunity for those looking to make significant impacts in the field of generative AI, while fostering a culture of continuous improvement and learning within our organization.

• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
• Optimizing existing generative AI models for improved performance, scalability, and efficiency.
• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
• Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
• Contributing to the establishment of best practices and standards for generative AI development within the organization.
• Must be deployed one or two projects
• Proven experience of 2+ years
• Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
• proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
• strong knowledge of data structures, algorithms, and software engineering principles.
• familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
• experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
• familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
• knowledge of software development methodologies, such as Agile or Scrum.
• excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
• communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment