Senior Data Scientist Machine Learning Engineer

5 days ago

Bengaluru, Karnataka, India The Cigna Group Full time

About The Role

We are seeking a highly skilled Senior Analyst Machine Learning Engineer to join our team at The Cigna Group.

Responsibilities

Our ideal candidate will utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks to build transformative solutions.

They will have a deep understanding of AI Models, Large Language Models, and AI specialized infrastructure, especially as it relates to AI trends and issues within businesses.

The Senior Analyst Machine Learning Engineer will work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions.

They will build solutions that align with responsible AI practices.

Our Senior Analyst Machine Learning Engineer will work with both open source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions.

They will optimize existing generative AI models for improved performance, scalability, and efficiency.

Our ideal candidate will develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Qualifications

  • Experience working with recommendation engines, data pipelines, or distributed machine learning.
  • Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5 to 7 years of experience in research with sequential modeling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning.
  • Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
  • Strong knowledge of data structures, algorithms, and software engineering principles.
  • Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.

About The Cigna Group

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality.

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