6 - 8 years
18 - 27 Lacs
Trichy, Chennai, Bengaluru
Posted:3 months ago|
Platform:
Work from Office
Full Time
Job Description: 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. Providing technical mentorship and guidance to junior team members. Key Requirements: Min. 5-8 yrs of relevant experience At least 1-2 years of experience in leading a team of developers Solid consulting mindset, who has the ability to lead from the front You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. You have strong knowledge of data structures, algorithms, and software engineering principles. You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
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