Description

Data Scientist

Eaglewood cliffs, NJ & Farmingdale, NY (Hybrid role)

Responsibilities:

Expertise in Data Science, Machine Learning, and AI to craft inventive solutions using OpenAI and Generative AI techniques.

Perform in-depth data analysis and apply statistical and machine learning models to extract valuable insights from intricate datasets.

Develop and implement cutting-edge algorithms for natural language processing, computer vision, and other AI applications.

Collaborate with cross-functional teams to understand business needs and translate them into effective AI solutions.

Create and deploy scalable and resilient AI models in production environments.

Evaluate model performance, testing and iterate models to enhance accuracy and efficiency.

Stay abreast of the latest advancements in AI, particularly in OpenAI and Generative AI, and contribute to research and development endeavors.

Required Skills:

Expertise in OpenAI and hands-on application of Generative AI techniques (GANs, Transformers, etc.).

Proficiency in programming languages like Python, R, or similar for data analysis and modeling.

Solid understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch, etc.), and NLP/CV techniques.

Proven experience with large-scale datasets and their analysis.

Exceptional problem-solving and analytical skills.

Strong communication and collaborative abilities.

Skills

• OpenAI
• Data Science
• Machine Learning

Responsibilities

• Expertise in Data Science, Machine Learning, and AI to craft inventive solutions using OpenAI and Generative AI techniques
• Perform in-depth data analysis and apply statistical and machine learning models to extract valuable insights from intricate datasets
• Develop and implement cutting-edge algorithms for natural language processing, computer vision, and other AI applications
• Collaborate with cross-functional teams to understand business needs and translate them into effective AI solutions
• Create and deploy scalable and resilient AI models in production environments
• Evaluate model performance, testing and iterate models to enhance accuracy and efficiency
• Stay abreast of the latest advancements in AI, particularly in OpenAI and Generative AI, and contribute to research and development endeavors

Qualifications

• Expertise in OpenAI and hands-on application of Generative AI techniques (GANs, Transformers, etc.)
• Proficiency in programming languages like Python, R, or similar for data analysis and modeling
• Solid understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch, etc.), and NLP/CV techniques
• Proven experience with large-scale datasets and their analysis
• Exceptional problem-solving and analytical skills
• Strong communication and collaborative abilities