AI/ML Engineer

Join our innovative team as an AI/ML Engineer, where you will develop AI-based proofs of concept, such as chatbots and other machine learning solutions. You will work extensively with Python, Gen AI, and data handling technologies, while also architecting solutions using vector databases and RAG architecture. Strong communication skills and comfort in presenting to clients are essential for success in this role.

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Permanent contract
Praha
Salary: Not specified
Education: No Diploma
Key missions

Constructing and implementing robust AI and machine learning models, focusing on delivering groundbreaking proofs of concept.

Engaging deeply with technologies like Python, Gen AI (LLMs), and working extensively with data handling using pandas, SQL, and cloud databases.

Architecting solutions using vector databases and RAG architecture like OpenSearch and Kendra, and ensuring familiarity with AWS services and DevOps tools.

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The position

Job description

Description

As an AI/ML Engineer, you will be instrumental in developing AI-based proofs of concept, such as chatbots or other machine learning solutions, using technologies like Python and Gen AI.

We're seeking an AI/ML Engineer to join our innovative team. In this role, you will be responsible for constructing and implementing robust AI and machine learning models, with a focus on delivering groundbreaking proofs of concept such as chatbots and other ML solutions. You will engage deeply with technologies like Python, Gen AI (LLMs), and work extensively with data handling using pandas, SQL, and cloud databases on platforms such as AWS. You will also architect solutions using vector databases and RAG architecture like OpenSearch and Kendra. Familiarity with AWS services and DevOps tools, specifically Docker and Git, is crucial. If you have additional knowledge of Azure, it would be advantageous. Strong communication skills and comfort in presenting to clients are key to your success in this position.

Requirements

  • Expertise in Python and Gen AI (LLMs).
  • Strong understanding of machine learning algorithms and statistics.
  • Data handling proficiency with pandas, SQL, and cloud databases such as AWS Redshift, Postgres, or Databricks.
  • Experience with vector databases and RAG architecture solutions like OpenSearch and Kendra.
  • Proficiency in AWS services, with knowledge of Azure as a plus.
  • Skills in DevOps practices, particularly with Docker and Git.
  • Comfortable with client presentations and technical discussions.

We offer

  • Competitive salary based on experience and capabilities.
  • Flexible work arrangements, including remote work options.
  • Opportunities for professional growth and certifications.
  • An engaging and collaborative team environment.

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