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Arrow Electronics
Arrow Electronics
Sponzor vizuma H1BLogistikaProizvodnjaSvetovanje
Arrow Electronics je globalno podjetje za tehnološke rešitve in dobavno verigo, ki oskrbuje proizvajalce tehnologije in ponudnike storitev. Njegovo delovanje vključuje distribucijo z dodano vrednostjo, upravljanje dobavne verige, podporo pri trženju in razvoju poslovanja, rešitve za nastajajoče tehnologije, načrtovanje in inženiring, upravljanje podatkovnih centrov ter odstranitev in odprodajo sredstev IT. S tem širokim portfeljem Arrow podpira razvoj, dobavo in upravljanje življenjskega cikla tehnoloških izdelkov v različnih panogah ter pomaga zagotavljati večjo dostopnost naprednih tehnologij in njihov lažji prihod na trg.
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Delovna mesta v podjetju

AI/ML Engineer

Build scalable MLOps pipelines and LLM solutions for eInfochips’ engineering services. Develop, monitor, and govern machine learning systems.

INIndijaNa lokacijiPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaInženir strojnega učenja
AWSAzureGoogle Cloud PlatformHadoopKafkaKerasNoSQLNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorFlow

Opis

  • Develop AI and machine learning solutions.
  • Architect scalable MLOps pipelines with Azure ML, MLflow, Databricks Asset Bundles (DAB), and CI/CD/CT.
  • Implement supervised, unsupervised, and reinforcement learning models.
  • Engineer features and assess model performance.
  • Track model drift and set up automated alerts.
  • Establish data governance, lineage tracking, metadata management, and compliance processes.
  • Design and deploy LLM solutions using RAG, Agentic AI, MCP, and prompt engineering.
  • Create Power BI dashboards for model monitoring and business KPI reporting.
  • Use sound software engineering practices in machine learning code.
  • Evaluate practical uses for Generative AI, Agentic AI, and LLMs.
  • Mentor junior colleagues, review code, and lead technical knowledge-sharing sessions.

Zahteve

  • 4–8 years of experience.
  • A notice period of 0–45 days is preferred.
  • Strong knowledge of supervised, unsupervised, and reinforcement learning, model evaluation, and feature engineering.
  • Proficiency in TensorFlow, PyTorch, and Keras.
  • Hands-on experience with CNNs and RNNs.
  • Advanced Python skills, including NumPy, Pandas, and scikit-learn.
  • Practical experience with Spark; Databricks experience is preferred.
  • Familiarity with Hadoop and Kafka.
  • Experience with machine learning services, data storage, and compute on Azure, AWS, or GCP.
  • Strong MLOps experience.
  • Strong SQL, NoSQL, and data modeling skills.
  • Hands-on experience detecting and monitoring model drift and setting up automated alerts.
  • Practical experience implementing data governance frameworks, lineage tracking, metadata management, and compliance.
  • Experience architecting scalable MLOps pipelines with Azure ML, MLflow, Databricks Asset Bundles (DAB), and CI/CD/CT.
  • Microsoft Certified: Azure Data Scientist Associate certification is a plus.
  • Experience designing and deploying LLM solutions using RAG, Agentic AI, MCP, and prompt engineering is a plus.
  • Experience building Power BI dashboards for model monitoring and business KPI reporting is a plus.
  • A strong foundation in statistics, hypothesis testing, and data interpretation is a plus.
  • Knowledge of software engineering practices for reusable, testable, and maintainable machine learning code.
  • Knowledge of Generative AI, Agentic AI, and LLMs.
  • Ability to mentor junior colleagues, review code, and lead technical knowledge-sharing sessions.

Ugodnosti

  • Competitive pay
  • Work-life balance
  • Professional development
  • Innovative work environment
  • Recognition and rewards

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HibridnoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaOblikovalec
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