AI & Machine Learning Intern - Electrical Engineer - For German Resident Only
—
About the role Wenn die folgenden Stellenanforderungen und Erfahrungen mit Ihren Fähigkeiten übereinstimmen, bewerben Sie sich bitte umgehend. Are you passionate about AI/ML and have hands-on experience in practical applications?Join us in revolutionizing the energy industry! We're forming a special task force to identifyefficiency needs from various perspectives and develop cutting-edge solutions using AI anddata management. Be a part of Project NOVA (Next-gen Optimization with Visionary AI) andwork directly with our CEO and senior leadership team, enjoying full freedom to innovate.Help bridge the gap between engineering and AI innovation in Project NOVA. As an AI & MLElectrical Engineer Intern, you’ll apply your technical expertise to guide model selection andensure AI solutions meet real-world needs. Responsibilities Collaborate with cross-functional teams to identify AI/ML opportunities. Design, build, and deploy machine learning models. Analyze large datasets to extract insights. Document development processes and model results. Present findings to stakeholders using visualizations and reports. Stay updated with AI/ML advancements. Apply AI/ML techniques using Azure Machine Learning. Bridge engineering and AI requirements. Skills and Attributes for Success Pursuing or recently completed a degree in Electrical Engineering, Mechatronics, orrelated field. Strong understanding of machine learning algorithms. Proficiency in Python, R, or Java. Experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Analytical and problem-solving skills. Communication and presentation skills. Experience with data visualization tools (e.g., Tableau, Power BI). Experience with vector databases (e.g., Pinecone) Knowledge of Azure cloud platforms. xfmxmju Coding experience (Python or similar). Ability to translate customer needs into technical specs Requirements Applicants must submit their Github profiles alongside resumes
| Skill | Source | Confidence |
|---|---|---|
| GitHub | llm_hard |
100%
|
| Python | llm_hard |
100%
|
| Java | llm_hard |
100%
|
| R | llm_hard |
100%
|
| TensorFlow | llm_hard |
100%
|
| PyTorch | llm_hard |
100%
|
| Scikit-learn | llm_hard |
100%
|
| Azure ML | llm_hard |
100%
|
| Vector Databases | llm_hard |
100%
|
| Skill | Source | Confidence |
|---|---|---|
| Presentation Skills | llm_soft |
100%
|
| Cross-Functional Communication | llm_soft |
100%
|
| Documentation | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Technical Writing | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| AI & Machine Learning Intern - Electrical Engineer - For German Resident Only | extracted | 4568 | 2026-03-22 03:01 | |
| AI & Machine Learning Intern - Electrical Engineer - For German Resident Only | classified | 536 | 2026-03-21 21:10 | |
| junior AI engineer in Germany | de | processed | 8647 | 2026-03-21 17:06 |
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"job_description": "About the role\n\nWenn die folgenden Stellenanforderungen und Erfahrungen mit Ihren Fähigkeiten übereinstimmen, bewerben Sie sich bitte umgehend.\nAre you passionate about AI/ML and have hands-on experience in practical applications?Join us in revolutionizing the energy industry! We're forming a special task force to identifyefficiency needs from various perspectives and develop cutting-edge solutions using AI anddata management. Be a part of Project NOVA (Next-gen Optimization with Visionary AI) andwork directly with our CEO and senior leadership team, enjoying full freedom to innovate.Help bridge the gap between engineering and AI innovation in Project NOVA. As an AI & MLElectrical Engineer Intern, you’ll apply your technical expertise to guide model selection andensure AI solutions meet real-world needs.\nResponsibilities\n\nCollaborate with cross-functional teams to identify AI/ML opportunities.\nDesign, build, and deploy machine learning models.\nAnalyze large datasets to extract insights.\nDocument development processes and model results.\nPresent findings to stakeholders using visualizations and reports.\nStay updated with AI/ML advancements.\nApply AI/ML techniques using Azure Machine Learning.\nBridge engineering and AI requirements.\n\nSkills and Attributes for Success\n\nPursuing or recently completed a degree in Electrical Engineering, Mechatronics, orrelated field.\nStrong understanding of machine learning algorithms.\nProficiency in Python, R, or Java.\nExperience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).\nAnalytical and problem-solving skills.\nCommunication and presentation skills.\nExperience with data visualization tools (e.g., Tableau, Power BI).\nExperience with vector databases (e.g., Pinecone)\nKnowledge of Azure cloud platforms. xfmxmju\nCoding experience (Python or similar).\nAbility to translate customer needs into technical specs\n\nRequirements\nApplicants must submit their Github profiles alongside resumes",
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