AI/ML Expert

2 weeks ago

Thoothukudi, Tamil Nadu, India beBeeArtificialintelligence Full time ₹ 1,80,00,000 - ₹ 2,10,00,000
Job Title: AI/ML Expert

We are seeking an experienced and skilled AI/ML engineer to join our team as a key contributor in designing, developing, and deploying cutting-edge AI solutions that drive business value and innovation.

The ideal candidate will have expertise in machine learning, deep learning, and natural language processing, with a strong track record of delivering impactful solutions in a production environment.

Key Responsibilities:

  • Develop and optimize machine learning models, including Generative AI, Large Language Models, and Deep Learning Architectures.
  • Design and implement scalable, production-ready AI solutions that integrate into existing systems.
  • Fine-tune and evaluate models on large-scale datasets to improve accuracy, efficiency, and robustness.
  • Collaborate with software engineers, data scientists, and product teams to align AI models with business needs.
  • Work with healthcare and claims data to build high-performance AI systems.
  • Develop and maintain MLOps pipelines for training, deploying, and monitoring AI models.
  • Troubleshoot and resolve AI/ML engineering challenges, ensuring models perform effectively in production.
  • Stay up-to-date with advancements in Generative AI, LLMs, and Deep Learning to continuously improve AI solutions.

Requirements:

  • Bachelor's or Master's in a quantitative field such as Computer Science or Data Science or related disciplines.
  • Minimum of 3+ years' experience in data science/ML role, with a track record of delivering impactful solutions in a production environment.
  • Proficiency in programming languages like Python, R, and SQL, with experience in building scalable and efficient ML/NLP workflows.
  • Deep understanding and hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing.
  • Experience in working with state-of-the-art Generative AI models, including model fine-tuning and evaluation techniques.
  • Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data.
  • Cloud computing and deployment knowledge for deploying and managing AI applications on cloud platforms.

Benefits:

  • A competitive salary and benefits package.
  • A dynamic and supportive work environment.

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