Senior AI Engineer - 24Hr Campaign

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ELCA Group

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Spark Azure Git Databricks PyTorch Pandas Microsoft Kubeflow AWS TensorFlow

Job Description

Your responsibilities

  • Adhere to the service process, best practices & principles
  • Produce efficient and high-quality delivery via learning on the job
  • Delivery of high-quality service together with the team, including analyzing, processing, troubleshooting, testing, and documentation
  • Implement or integrate an AI/ML solution from requirement to delivery
  • Self-manage tasks as per the timelines and quality


Your qualifications

  • Bachelor’s degree in computer science, AI, or related
  • Strong knowledge of Python or other programming languages
  • Able to read and write technical documents in the English language
  • Good technical, analytical, and problem-solving skills
  • Passionate, pro-active, and keen to learn new technologies
  • Knowledge of Machine Learning Algorithms, LLM, Deep Learning, NLP, and Computer Vision
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, OpenAI, RAG,..)
  • Experience with software engineering and collaboration tools (e.g., Git, JIRA, Microsoft Teams)
  • At least 5 years of experience working in the IT industry
  • Including at least 3 years of experience in the AI field as an AI/ML engineer or similar position
  • Proven experience in coaching and supervising other developers and team members


Nice to have

  • Knowledge of AI Cloud (Azure, AWS, OCI) is a plus
  • Knowledge of MLOps tools (e.g., Mlflow, Kubeflow, etc.)
  • Knowledge of big data platforms (e.g., Spark, Databricks) or data analysis tools (e.g., pandas)
  • Experience in leading a project or a team


Why you’ll love working here

  • Professional European-based company
  • Attractive salary
  • Performance bonus of up to 4 months‘ salary
  • Opportunities for travel to Europe
  • Hybrid home/office working model
  • Flexible working time
  • Structured training & development roadmap
  • Good work-life balance
  • Premium healthcare insurance
  • Loyalty programs
  • Well-being activities
  • Annual company trips and team-building events

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