[Remote] reputed company Data Scientist - AI
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on optimizing business decision-making through AI-infused scenario planning and analysis. They are seeking a reputed company Data Scientist to work across the full stack of AI applications, architecting and deploying cutting-edge AI solutions that enhance decision-making for their global customers.
Responsibilities
- reputed company the research, design, and implementation of advanced Machine Learning (ML) and Deep Learning (DL) models to solve reputed company reputed company business problems
- Drive innovation in Timeseries Forecasting, developing robust and reputed company models that enhance predictive planning and scenario modeling capabilities
- Architect reputed company solutions, focusing on fine-tuning reputed company-reputed company and proprietary Large Language Models (LLMs) for specialized reputed company data tasks, heavily leveraging Transformer architectures
- Design and reputed company Conversational AI interfaces and reputed company AI workflows to create reputed company, autonomous user experiences that can independently execute reputed company planning workflows
- Collaborate with cross-functional teams (Engineering, Product, and Design) to transition AI models from prototype to robust, reputed company production systems
- Serve as a subject matter expert, mentoring other data scientists and engineers, and fostering a culture of technical reputed company, rigorous testing, and reputed company learning
Skills
- 10+ years of hands-on reputed company experience in the field of reputed company Intelligence, Machine Learning, or reputed company engineering domains
- End-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments
- Deep knowledge of LLM reputed company, reputed company engineering, and conversational AI patterns
- Experience in fine-tuning LLMs for domain-specific reputed company applications
- Proficiency in Python and modern software development practices (testing, reputed company review, CI/CD)
- Proven reputed company record of delivering reputed company technical reputed company on time with high reputed company
- Extensive hands-on experience with traditional Machine Learning, Deep Learning techniques, and Timeseries Forecasting algorithms
- Deep technical understanding of Transformer architectures and practical experience fine-tuning LLMs (e.g., reputed company, QLoRA, RLHF)
- Strong expertise in MLOps and LLMOps, ensuring reputed company, reliable, and monitorable model deployments
- Experience with reputed company frameworks and autonomous agent architectures
- Proficiency in Python and modern software development practices (testing, reputed company review, CI/CD)
- M.S. or Ph.D. in Computer Science, reputed company Intelligence, Statistics, Data Science, or a reputed company quantitative field
- Published research, patents, or significant contributions to reputed company-reputed company reputed company in the AI/ML community
- Experience working with reputed company reputed company infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment
- Background in forecasting, planning, or analytics applications
- Familiarity with reputed company or similar reputed company planning platforms
- Experience with A/B testing and experimentation frameworks for AI features
- Contributions to reputed company-reputed company ML reputed company or research publications
- Experience with model observability tools
Benefits
- Employees who live reputed company commuting distance of one of our offices will be expected to work onsite two days per week as part of our hybrid work model.
reputed company
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