Sobre este puesto de Data Scientist / AI Engineer en Parallelwireless
Responsibilities:
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Design, develop, and deploy machine learning models to solve complex, real-world problems
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Build and implement advanced agentic AI systems and intelligent automation solutions
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Evaluate new AI tools, frameworks, and research to continuously improve system performance.
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Analyze large-scale datasets to extract insights and support data-driven decision-making
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Collaborate with cross-functional teams to translate business needs into AI/ML solutions
Requirements:
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At least 4 years experience as a Data Scientist/AI Engineer
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Hands-on experience with machine learning, deep neural networks (DNN) and data analysis techniques
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Familiarity with agentic AI frameworks and modern AI architectures
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Strong software development skills
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Strong analytical and problem-solving skills.
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Independent and self-driven, while also being an effective team player
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Experience building scalable, production-grade systems.
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Passion for new technologies and the ability to learn quickly in a fast-paced environment
- M.Sc. in Computer Science, Electrical Engineering, or a related field
Nice to Have:
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Knowledge of cellular networks or communication systems.
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Knowledge of signal processing techniques and algorithms
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Experience with big data tools (e.g., ELK stack)
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Experience with AWS and K8s
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Experience as a Software Engineer, developing large-scale systems and real-time systems
