Job Summary:
We are seeking an innovative Artificial Intelligence Engineer to join our
dynamic team, dedicated to driving the next generation of AI solutions. This
role focuses on developing and deploying cutting-edge Generative AI and Large
Language Models (LLMs) that will enhance our product offerings and improve
customer experiences.
Key Responsibilities:
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Design and implement AI models, specifically Generative AI and Large
Language Models, to solve complex business challenges.
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Collaborate with cross-functional teams to integrate AI solutions into our
existing products and services.
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Conduct research to stay updated with industry trends in AI, particularly
focusing on advancements in LLMs.
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Evaluate and optimize model performance, ensuring accuracy and efficiency
across various applications.
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Create comprehensive documentation for model development and deployment
processes.
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Assist in the development of AI-based analytics tools to derive insights and
inform business strategies.
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Mentor junior engineers and provide technical guidance in AI and machine
learning best practices.
Requirements:
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Bachelor's or Master's degree in Computer Science, Data Science, or a
related field.
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3+ years of experience in Artificial Intelligence, with a strong focus on
Generative AI and LLM development.
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Proficiency in programming languages such as Python, Java, or R, with a deep
understanding of machine learning libraries (e.g., TensorFlow, PyTorch).
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Experience with data preprocessing and feature engineering for different
types of datasets.
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Strong analytical and problem-solving skills with the ability to work on
complex algorithms.
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Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for
deploying AI solutions.
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Excellent communication skills, big-picture thinking, and the ability to
work collaboratively in a team environment.
Preferred Qualifications:
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Experience with deployment and scaling of LLMs in production environments.
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Knowledge of ethical AI practices and bias mitigation in model training.
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Hands-on experience with Natural Language Processing (NLP) tools and
techniques.
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Published research papers or contributions to open-source projects related
to AI models.
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Understanding of the latest trends and technologies in the AI and machine
learning landscape.