AI Systems Developer

18 hours ago

Vijayawada, Andhra Pradesh, India beBeeArtificialIntelligenceEngineer Full time ₹ 15,00,000 - ₹ 25,00,000

Artificial Intelligence Engineer Role

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  • The role of an AI Engineer involves the development and deployment of advanced artificial intelligence solutions.

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  • This position focuses on implementing solutions that leverage Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models.

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  • The AI Engineer will work closely with data scientists, ML engineers, and product teams to translate business needs into scalable AI systems.

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  • Key Responsibilities:

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    • Implement ML, NLP, LLM deliverables aligned with AI strategies.

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    • Contribute to the development of custom ML, Gen AI, NLP, LLM models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), and NLP/LLM model development.

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    • Collaborate closely with data scientists, machine learning engineers, and software engineers to integrate AI models into production systems.

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    • Stay current with emerging AI/ML technologies and recommend innovative approaches.

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    • Apply best practices in data privacy, security, and biases in AI systems.

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  • Requirements:

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    • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant experience.

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    • Professional experience in AI/ML model development.

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    • Demonstrated ability working with machine learning frameworks, programming languages like Python, and cloud platforms.

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    • Demonstrated ability to learn new technologies.

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    • Demonstrated understanding of ethical considerations in AI systems.

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    • Strong analytical and problem-solving skills with understanding of AI/ML techniques.

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  • Preferred Qualifications:

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    • Experience deploying Gen AI solutions at scale.

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    • Experience fine-tuning LLMs, SLMs, teacher-student frameworks, and model distillation.

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    • Familiarity with human-in-the-loop methods for aligning LLMs with human preferences.

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    • Familiarity with agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

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