Job Description

:Experience essential for the role:

• Hands-on experience with current deep learning frameworks (e.g., PyTorch, TensorFlow) as evidenced by released code (e.g., GitHub repositories \xe2\x80\x93 version control awareness).
• Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine tuning.
• Experience in Generative AI Models and LLMs, finetuning LLMs, prompt engineering and experience with LLM orchestration frameworks like Langchain, LlamaIndex etc.
• Strong software engineering skills for rapid and accurate development of AI models and systems.
• Provide business-oriented solution with ability to communicate effectively, both verbally and in writing, with technical and non-technical stakeholders.
• Experience working in a collaborative environment, contributing to multidisciplinary teams and projects.
• Data Science project management skills with Agile framework
• Experience managing high performing data science team, mentoring defining career paths
• Proven ability to solve complex problems, think creatively, and adapt to evolving research trends.

Skills and Personal attributes we would like to have:

• Master\'s degree in computer science, machine learning, or a related field
• 12-15 years of work experience with over 6 years in AI and related fields like NLP including transformer architecture and LLMs, Computer Vision and related technologies
• Experience in ML Engineering and MLOps
• Strong understanding of statistical and machine learning concepts
• Experience with deep learning frameworks such as TensorFlow and PyTorch
• Familiarity with key concepts and techniques used in generative models, such as variational autoencoders (VAEs), generative adversarial networks (GANs), and flow-based models.
• Strong programming skills in languages such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow.
• Understanding of Graph Database and/or Vector Database along with knowledge of cloud services (e.g., AWS, Azure).
• Experience with deploying AI models in production environments.
• Familiarity with domain-specific applications of generative AI
• Excellent communication and problem-solving skills

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