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Job Description
Responsibilities;
- Spearhead the development and deployment of AI models, with a particular emphasis on ChatGPT or similar language models, utilizing AWS cloud services.
- Conduct in-depth research and development in the field of AI to improve model performance, efficiency, and scalability.
- Design and maintain machine learning pipelines for training and deploying large-scale models using AWS services like Amazon SageMaker, AWS Lambda, and AWS Glue.
- Work collaboratively with cross-functional teams to integrate AI capabilities into a variety of applications and services.
- Stay updated with the latest advancements in AI, machine learning, and AWS technologies, and apply this knowledge to drive innovative solutions.
- Analyze complex datasets to refine model accuracy and efficiency.
- Implement strategies for handling large-scale data processing and model training in the AWS cloud environment.
- Ensure ethical AI practices and compliance with data privacy and security regulations.
- Mentor junior team members in AI and machine learning methodologies.
- Effectively communicate complex AI model behaviors and insights to both technical and non-technical stakeholders.
- Masters or Bachelors in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Minimum of 8 years of experience in data science, with a significant focus on AI and machine learning.
- Demonstrated experience in building and deploying AI models, particularly language models like ChatGPT.
- Proficient in AWS cloud services, especially Amazon SageMaker, AWS Lambda, and AWS Glue.
- Expertise in programming languages such as Python or R, and familiarity with ML frameworks like TensorFlow or PyTorch.
- Solid understanding of AI principles and natural language processing techniques.
- Experience managing large datasets and using big data technologies.
- Strong problem-solving
- skills and analytical mindset.
- Excellent communication and leadership capabilities.
- Preferred Skills:Experience with other cloud platforms like Azure or Google Cloud Platform.
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Skills
AutomationBusiness TransformationData ProcessingData ScienceMachine LearningProduct DevelopmentRecruitmentResearchStrategyTrainingTransformationIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
13 Apr 24, 02:28 PM IST
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