Analytics Saves At Work - Bangalore, India - Analytics Saves At Work India Pvt Ltd.

Description

• Analytics Saves at Work (aSaw) is looking for an AI Senior Analyst for one of our client which is one of the top 3 health services companies worldwide and a
• Fortune 50 organization.
• They are headquartered in the US.

• Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions.
• Understanding of AI Models, Large Language Models, and AI specialized.

• Work with Product Development as a Generative Artificial Intelligence (AI).
• Subject matter expert and architect and develop scalable, resilient, ethical AI solutions
• Build solutions that align with responsible AI practices.
• Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies.
• Work with both open source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions.
• Optimize existing generative AI models for improved performance, scalability and efficiency.
• Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
• Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and nontechnical stakeholders.
• Contribute to the establishment of best practices and standards for generative AI development within the organization.

• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• A Ph.

• 2 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.
• 2 years of experience working in a complex, matrixed organization involving crossfunctional or crossbusiness projects.
• Programming experience in C/C++, Java, Python, computer vision, selfsupervised 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 cloudbased platforms and services, such as AWS, GCP, or Azure.
• Excellent problemsolving skills, with the ability to think critically and creatively to develop innovative AI solutions.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.