AI Innovation Leader

3 days ago

India beBeeAI Full time ₹ 1,04,000 - ₹ 1,30,878

**Job Description**

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As an AI/ML Engineer, you will play a crucial role in designing, developing, and deploying cutting-edge AI and ML solutions that drive business value and innovation. You will work on advanced machine learning models, including Generative AI, Large Language Models, and Deep learning architectures. Your task will involve optimizing, fine-tuning, and scaling these models while ensuring they meet business and performance objectives.

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**Essential Functions of the Job**

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  • Develop, optimize, and deploy machine learning and deep learning models, including 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 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.
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**Required Skills and Qualifications**

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  • Bachelors or Masters 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. This involves cleaning, labeling, and augmenting data to train and improve AI models.
  • Cloud computing and deployment knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure.
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**Benefits**

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This position offers the opportunity to work with cutting-edge technology, collaborate with cross-functional teams, and make a significant impact on business growth. As an AI/ML Engineer, you will have the chance to develop your skills, learn from experienced professionals, and take ownership of complex projects.

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**Competencies**

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  • Demonstrated expertise in precision products and services.
  • Ability to drive executive-level conversations regarding business value.
  • Passionate and confident communicator with the ability to energize stakeholder decision-making.
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