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Remote Machine Learning Engineer, Munich

at Bjak

Posted 9 hours ago | 0 applied

Description:

  • BJAK is an internet company with expertise in automation, launching a global AI solution to simplify life through intelligent task automation.
  • The company is based in Malaysia and aims to serve global markets, ensuring the benefits of AI reach everyone.
  • The team is goal-driven and motivated, focused on delivering exceptional products with a flat organizational structure that promotes ownership and initiative.
  • The role involves collaborating with product managers and stakeholders to define AI project objectives, requirements, and timelines.
  • Responsibilities include designing, developing, and implementing AI models, algorithms, and applications to solve complex business challenges.
  • The position requires managing the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
  • Staying updated with advancements in AI and machine learning is essential, as well as driving data-driven decision-making through advanced analytics and visualization techniques.
  • Ensuring the security, scalability, and efficiency of AI solutions is a key responsibility.
  • The role also involves researching and integrating cutting-edge AI techniques.

Requirements:

  • A Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field is required.
  • Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects is necessary.
  • Proficiency in AI and machine learning frameworks and programming languages, particularly Python, is essential.
  • Strong expertise in data preprocessing, feature engineering, and model evaluation is required.
  • Excellent problem-solving and critical-thinking skills are necessary for this position.
  • Effective leadership, communication, and team management abilities are required.
  • A passion for staying at the forefront of AI and machine learning advancements is essential.

Benefits:

  • The position offers fast-moving, challenging, and unique business problems to solve.
  • Attractive remuneration and performance incentives are provided.
  • Strong learning and development plans are available for career growth.
  • There are great career development opportunities in a growing company.
  • The work environment is international with a flat organization.
  • A competitive salary is offered to successful candidates.