Analytics Saves At Work

3 weeks ago


Bangalore, Karnataka, India Analytics Saves At Work India Pvt Ltd. Full time

Job Description :

Location : Bangalore.

Notice Period - Immediate -45 days preferred.

- 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.

Responsibilities :

- 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.


- Infrastructure especially as it relates to AI trends and issues within businesses.

- 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 non-technical stakeholders.

- Contribute to the establishment of best practices and standards for generative AI development within the organization.

Qualifications :

- 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.D. is highly desirable.

- 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 cross-functional or cross-business projects.

- 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.

- Excellent problem-solving 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.

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