Lead Machine Learning Engineer

1 week ago


Bellary, Karnataka, India beBeeDataScientist Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Data Scientist Role

At c5i, we are seeking a highly skilled Data Scientist with a passion for AI, machine learning, and deep learning to join our dynamic team.

The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges. We value candidates with strong problem-solving skills and the ability to work effectively in a collaborative environment.

We are looking for someone who can:

  • Develop and implement data-driven solutions using machine learning and deep learning techniques.
  • Work on projects that involve natural language processing, computer vision, and reinforcement learning.
  • Maintain and improve existing AI models to achieve better results.
  • Collaborate with cross-functional teams to integrate AI capabilities into our products.

A successful candidate will have:

  • 4+ years of experience in machine learning, deep learning, or Al research, With a focus on generative models.
  • Experience with generative models such as GANS (Generative Adversarial Networks), VAES (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E).
  • Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
  • Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
  • Strong programming skills in python and familiarity With relevant libraries and frameworks.
  • Proven experience in document detail extraction and feature engineering.
  • Proficiency in data processing and manipulation techniques.
  • Hands-on experience in building data applications using Streamlit or similar tools.
  • Advanced knowledge in prompt engineering, chain of thought processes, and Al agents.
  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.


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