Artificial Intelligence and Machine Learning Professional

1 week ago

Aligarh, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

As an AI/ML Engineer, you will be at the forefront of designing, developing, and deploying AI and ML solutions that drive business value and innovation. Your role will involve optimizing, fine-tuning, and scaling these models while ensuring they meet business and performance objectives.

Key Responsibilities
  • Develop, optimize, and deploy machine learning and deep learning models, including Large Language Models (LLMs) and Generative AI models.
  • 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 cross-functional teams, including data scientists, engineers, 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 degree in a quantitative field such as Computer Science or Data Science.
  • Minimum 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 finetuning and evaluation techniques.
  • Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data.
Skills
  • Problem-solving skills to design and implement novel AI solutions when faced with unprecedented challenges.
  • Collaboration and communication skills to articulate technical details and project needs to technical and non-technical team members.
  • Continuous learning skills to keep up with the latest research, tools, and techniques in the rapidly evolving generative AI landscape.
  • Patient and persistent individuals who can stay motivated even when facing setbacks.

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