Machine Learning Advisor - Hyderabad / Secunderabad, Telangana - Cigna Medical Group

    Cigna Medical Group
    Cigna Medical Group Hyderabad / Secunderabad, Telangana

    1 day ago

    Full time ₹600,000 - ₹2,200,000 (INR) per year *
    Description

    Qualifications

    • 11 13 years of experience in technology
    • 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.
    • 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.
    • 5 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.
    • Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment

    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.
    * This salary range is an estimation made by beBee
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Machine learning advisor