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Artificial Intelligence Research Scientist

2 weeks ago

Agra, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 30,00,000 - ₹ 40,00,000

Job Title: AI Research Scientist

Job Summary: We are seeking a highly skilled AI research scientist with expertise in machine learning, deep learning, and AI techniques to join our team.

Key Responsibilities:

  • Design, Develop, and Deploy Machine Learning Models: Utilize Python and relevant libraries to design, develop, and deploy machine learning models that meet business objectives.
  • Collaborate with Cross-Functional Teams: Work closely with cross-functional teams to identify business opportunities and solve complex problems using AI and machine learning.
  • Stay Up-to-Date with Industry Advancements: Stay current with the latest advancements in AI, machine learning, and deep learning to ensure our solutions remain cutting-edge.
  • Develop and Maintain Large-Scale Data Processing Pipelines: Design and maintain large-scale data processing pipelines using Streamlit or similar tools to streamline data analysis and visualization.
  • Conduct Experiments and Analyze Results: Conduct experiments and analyze results to improve model performance and optimize business outcomes.
  • Communicate Technical Concepts: Effectively communicate technical concepts to non-technical stakeholders to drive business decisions.

Requirements:

  • Experience in AI Research: 4+ years of experience in machine learning, deep learning, or AI research is required.
  • Generative Model Experience: Experience with generative models such as GANS, VAEs, and transformer-based models is necessary.
  • Model Fine-Tuning and Transfer Learning: Understanding of model fine-tuning, transfer learning, and prompt engineering in the context of large language models is required.
  • Reinforcement Learning and Advanced Techniques: Knowledge of reinforcement learning and other advanced machine learning techniques applied to generative tasks is necessary.
  • Strong Programming Skills: Strong programming skills in Python and familiarity with relevant libraries and frameworks are required.
  • Document Detail Extraction and Feature Engineering: Proven experience in document detail extraction and feature engineering is necessary.
  • Data Processing and Manipulation Techniques: Proficiency in data processing and manipulation techniques is required.
  • Building Data Applications: Hands-on experience in building data applications using Streamlit or similar tools is necessary.
  • Prompt Engineering and AI Agents: Advanced knowledge in prompt engineering, chain of thought processes, and AI agents is required.
  • Problem-Solving and Collaboration: Excellent problem-solving skills and the ability to work effectively in a collaborative environment are essential.
  • Communication Skills: Strong communication skills to convey complex technical concepts to non-technical stakeholders are necessary.