LLM/ML Engineer

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Requirements:

• Minimum of 18 months of professional experience in AI/ML engineering.
• Excellent knowledge of AI/ML algorithms, techniques, and frameworks such as TensorFlow and PyTorch.
• Good knowledge of GenAI and LLM models and architectures.
• Solid understanding of data science principles, including data preprocessing and model evaluation.
• Proficiency in Python development for AI/ML tasks.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.

Responsibilities:

• Develop and deploy state-of-the-art AI/ML models and solutions.
• Collaborate with cross-functional teams to understand project requirements.
• Design and implement scalable and efficient AI/ML algorithms and models.
• Evaluate and select appropriate AI/ML techniques, algorithms, and libraries.
• Write high-quality code using solid engineering principles.
• Evaluate quality, performance, and accuracy of AI/ML models through testing.
• Maintain detailed documentation of task outcomes.