Data Scientist LLM|Bengaluru|2+ Yrs

  • Mopid
  • India, B...
  • 2 - 8 Yrs

Job Description

  • Job Title: Data Scientist LLM
  • Location: Bangalore
  • Experience: 2 - 8 years
  • Employment Type: Full Time
  • We are seeking a dynamic and experienced professional to join our team as a Data Scientist LLM. As a Data Scientist LLM, you will play a crucial role in leveraging artificial intelligence and cutting-edge technologies to drive innovation and enhance our organization's capabilities. This role requires a unique blend of technical expertise, strategic thinking, and a passion for exploring the limitless possibilities of artificial intelligence.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proven experience in AI-related roles with 4-8 years of hands-on experience.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
  • Practical experience in deploying AI models in production environments.
  • Solid understanding of NLP, computer vision, and other AI-related domains.
  • Excellent problem-solving and critical-thinking skills.
  • Strong communication and collaboration skills.

Job Responsibilities

  • AI Strategy and Implementation:
  • Develop and implement AI strategies aligned with the organization's goals.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes.
  • Machine Learning and Deep Learning:
  • Design, develop, and deploy machine learning and deep learning models.
  • Stay abreast of the latest advancements in AI and ensure the integration of emerging technologies.
  • Data Analysis and Interpretation:
  • Analyze large datasets to derive meaningful insights and trends.
  • Work closely with data scientists to refine models based on real-world performance.
  • Natural Language Processing (NLP) and Computer Vision:
  • Apply NLP techniques for language understanding and generation.
  • Implement computer vision algorithms for image and video analysis.
  • Collaboration and Knowledge Sharing:
  • Collaborate with cross-functional teams to identify AI opportunities in various business domains.
  • Conduct knowledge-sharing sessions to empower team members with AI concepts and applications.
  • Continuous Improvement:
  • Proactively identify areas for improvement in existing AI systems.
  • Implement enhancements to optimize AI models for performance and efficiency.


Bengaluru, Karnataka, India