Greetings from DynApt!Â
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The word Dynapt means appropriate force. We strive to provide the best people and technology solutions to help you achieve your business goals. We do this by providing solutions that are:Â
• Stable - production-ready systems that rarely go downÂ
• Scalable - platforms built on modular architecture providing flexibility to adapt to future needs/demandsÂ
• Sustainable - Platform attenuation and efficiency balancing lower operating costs and reduce wasted processing and power grid usage.Â
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Our headquarters is located in the greater Austin, TX area and our developers are located in the US, India and Egypt primarily.Â
Job BriefÂ
We are currently hiring a highly skilled and motivated Generative AI Engineer to join our talented engineering team. As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services.Â
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 Responsibilities of a Generative AI EngineerÂ
• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.Â
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.Â
• Researching 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.Â
• Optimizing existing generative AI models for improved performance, scalability, and efficiency.Â
• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.Â
• Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.Â
• Contributing to the establishment of best practices and standards for generative AI development within the organization.Â
• Providing technical mentorship and guidance to junior team members.Â
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Skills and qualifications:Â
• You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.Â
• Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.Â
• Should be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.Â
• Strong knowledge of data structures, algorithms, and software engineering principles.Â
• Familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.Â
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.Â
• Familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.Â
• Knowledge of software development methodologies, such as Agile or Scrum.Â
• Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.Â
• Must have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.Â
• Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.Â
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Experience:Â
4+ Years of relevant experience Â
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Job Types:Â
• Full-time/Permanent Â
• Hybrid modeÂ
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Office Website: -https://www.dynapt.com/Â
HR email I.D: hiring@dynapt.comÂ
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