What are the responsibilities and job description for the Data Scientist with Gen AI Expertise position at ApTask?
Job Details
Skill: Data Scientist with Generative AI Expertise
Role & Responsibilities:
- Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
- Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
- Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
- Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs.
- Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development.
- Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.
- Communicate complex AI concepts and findings to technical and non-technical audiences through data visualization, storytelling, and presentations.
Skills
Technical:
- Programming languages: Python (proficient) with major ML libraries.
- Experience with opensource Gen AI LLMs e.g., Llama and Dolly.
- Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers.
- Generative AI techniques: Experience with GANs, text-to-image generation, text generation models.
- Data wrangling & manipulation: SQL, data cleaning, feature engineering.
- Hyperscalers: AWS, Azure, or Google Cloud Platform experience a plus
Non-technical:
- Problem-solving & critical thinking: Ability to identify and solve complex problems with data-driven solutions.
- Communication & collaboration: Effectively communicate technical concepts to diverse audiences, work with geographically distributed teams.
- Innovation & creativity.
- Attention to detail & accuracy.
- Self-motivation & continuous learning.
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