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Senior Artificial Intelligence Engineer

3 months ago

Gurugram, India Catalyst IQ Full time

Job Description :


Seasoned Senior Machine Learning/AI Specialist proficient in a spectrum of technologies, including GPU-accelerated computing and LLMs.

This role is critical to meet our strategic objectives: enhancing user experience through smarter, personalized interactions; unlocking new revenue streams through AI-driven innovations; and optimizing operational processes to reduce costs.

With at least 4+ years of relevant experience, the individual will lead the development and implementation of AI models.

Key Responsibilities :

- Design and deploy advanced AI and machine learning models, with a focus on GPU-accelerated LLMs, to improve user engagement and satisfaction.

- Apply expertise in specific technologies such as TensorFlow, PyTorch, CUDA, and other GPU programming tools to optimize model performance and efficiency.

- Leverage machine learning, natural language processing (NLP), computer vision, and predictive analytics to create innovative solutions that drive revenue growth and operational excellence.

- Stay abreast of technological advancements in AI, LLMs, and GPU computing, ensuring our solutions leverage the most effective and efficient technologies.

- Collaborate with engineering and product development teams to integrate AI technologies across various platforms and services.

- Conduct data analyses using advanced analytics tools and frameworks to guide strategic decision-making and achieve business objectives.

Requirements :

- Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Data Science, or related fields, with a solid foundation in AI and machine learning technologies.

- At least 3 years of hands-on experience in developing and deploying AI models, specifically with expertise in GPU-accelerated computing and LLMs.

- Proficiency in AI and machine learning technologies, including TensorFlow, PyTorch, CUDA, and machine learning libraries optimized for GPU.

- Strong background in NLP, computer vision, predictive analytics, and other AI disciplines that contribute to user experience and business intelligence.

- Excellent leadership and communication skills.

(ref:hirist.tech)