Acunor · 20 hours ago
Data Scientist - Generative AI Developer
United States
Contract
Remote
Mid Level
3+ years exp
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Responsibilities
Develop and fine-tune advanced Generative AI models (e.g., GPT, Stable Diffusion, Transformer architectures) to solve business problems and create innovative solutions.
Leverage NLP techniques and tools to process text data and build AI applications like chatbots, summarization tools, and content generation systems.
Implement and optimize pipelines for model training, evaluation, and deployment on large-scale datasets.
Collaborate with cross-functional teams to understand business requirements and translate them into cutting-edge AI solutions.
Integrate generative models with APIs and systems for deployment in production environments.
Stay at the forefront of advancements in Generative AI, actively exploring emerging models and techniques to incorporate into development.
Ensure scalability, security, and efficiency in all AI solutions developed.
Document methodologies, processes, and results while presenting findings to both technical and non-technical stakeholders.
Qualification
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Required
Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
3+ years of experience in AI/ML development, with specific experience in Generative AI.
Proficiency in Python and familiarity with relevant libraries (e.g., Hugging Face Transformers, PyTorch, TensorFlow).
Hands-on experience with large language models (e.g., GPT, LLaMA), diffusion models, or GANs.
Strong knowledge of NLP techniques and applications.
Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI model training and deployment.
Familiarity with data preprocessing and feature engineering techniques for text and image data.
Strong problem-solving skills and the ability to innovate in solving complex challenges.
Knowledge of version control systems (e.g., Git) and CI/CD pipelines.
Preferred
Experience deploying Generative AI models in production environments.
Familiarity with tools like Docker, Kubernetes, or MLflow for model management and deployment.
Knowledge of ethical AI practices and responsible AI development principles.
Experience with multimodal AI models and applications.
Company
Acunor
Acunor is an IT management company that offers staffing services including analytics, cloud, digital transformation, and data engineering.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Mona M.
Talent Research Partner
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