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Lead LLM Engineer|Bengualuru|4+ Yrs

  • Mopid
  • India, B...
  • 4 - 10 Yrs

Job Description

  • We are seeking a highly skilled and motivated Lead LLM Engineer to join our dynamic team in Bengaluru, India.
  • As a Lead LLM (Machine Learning and Language Modeling) Engineer, you will be responsible for leading and contributing to the development of cutting-edge machine learning models and natural language processing systems.
  • You will work closely with cross-functional teams to design, implement, and deploy scalable solutions to address complex problems in various domains.
  • If you are passionate about leveraging machine learning and language modeling techniques to solve real-world problems, and you possess the required skills and experience, we encourage you to apply for this exciting opportunity. Join us in shaping the future of AI-driven innovation!
  • Lead a team of LLM engineers and data scientists to develop innovative machine learning algorithms and models.
  • Collaborate with product managers, software engineers, and domain experts to understand requirements and define project goals.
  • Design and implement machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation.
  • Conduct research and experimentation to improve model performance and scalability.
  • Stay up-to-date with the latest advancements in machine learning and natural language processing techniques.
  • Mentor junior team members and foster a culture of continuous learning and growth.
  • Drive best practices in software development, including code reviews, testing, and documentation.

Job Responsibilities

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 4+ years of experience in machine learning, natural language processing, or a related field.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong understanding of machine learning algorithms, including deep learning, reinforcement learning, and probabilistic models.
  • Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks is a plus.
  • Excellent communication and collaboration skills.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.


Bengaluru, Karnataka, India