Intern AI/ML Engineering

Reposted 3 Days Ago
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Warsaw, Warszawa, Mazowieckie
Junior
Hardware • News + Entertainment
The Role
The Junior AI/ML Engineer will contribute to AI/ML projects by designing, developing, integrating, deploying, and monitoring models for text, image, audio, and video. Responsibilities include building applications on the cloud, problem-solving independently, managing project tasks, and working collaboratively with the team.
Summary Generated by Built In

Please submit your documents in English when applying for this position.
We are seeking a skilled Intern AI/ML Engineer to bring Generative AI and Machine Learning skills to our globally distributed team. In this role, you can expect to participate in a wide variety of projects and contribute to the development of cutting-edge solutions. You will join a new team with a broad scope and play a vital role in shaping the future of our AI/ML initiatives. 

 

Responsibilities:

  • Contribute to AI/ML projects and apply your expertise to design, develop, integrate, deploy, and monitor text, image, audio and video models to address complex challenges.
  • Utilize your proficiency in Python to build and deploy applications to the cloud.
  • Take ownership of features and projects, exercising your independence in problem-solving and decision-making to drive results.
  • Embrace an iterative approach in a fast-moving environment, placing strong emphasis on continuous development and ongoing improvement.
  • Effectively manage and prioritize tasks to ensure project milestones are met.

Skills and Experience you will bring:

  • Robust proficiency in modern Python.
  • Experience working with Large Language Models and their APIs.
  • Database knowledge for data manipulation and extraction.
  • Strong problem-solving and critical-thinking skills.
  • Ability to work independently and as part of a collaborative team.
  • Effective communication and presentation skills.
  • Strong prioritization and time management abilities.
  • Proficiency in English with effective communication skills.

 

Additional skills and experience that will be useful:

  • Proven experience in machine learning and artificial intelligence, with a strong portfolio of projects and achievements.
  • Experience with ML libraries and solutions such as PyTorch, YOLO, scikit-learn
  • Experience with AI libraries such as LangChain, LangGraph, Semantic Kernel, PydanticAI
  • Experience working with audio and video is a strong plus
  • Experience with cloud services.

 

If you are a talented software engineer looking for a role that offers both technical challenges and opportunities for professional development, we invite you to join our team and help us shape the future.
You will meet regularly with your mentor in person in Warsaw or Cracow.

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The Company
HQ: Burlington, Ontario
1,244 Employees
On-site Workplace
Year Founded: 1966

What We Do

Evertz Microsystems (TSX:ET) is a leading global manufacturer of broadcast equipment and solutions that deliver content to television sets, on-demand services, WebTV, IPTV, and mobile devices (like phones and tablets). Evertz has expertise in delivering complete end-to-end broadcast solutions for all aspects of broadcast production including content creation, content distribution and content delivery.

Considered as an innovator by their customers, Evertz delivers cutting edge solutions that are unmatched in the industry in both hardware and software. Evertz delivers products and solutions that can be found in major broadcast facilities on every continent. Evertz’ customer base also includes telcos, satellite, cable TV, and IPTV providers.

With over 1700 employees, that include hardware and software engineers, Evertz is one of the leaders in the broadcast industry. Evertz has a global presence with offices located in: Canada, United States, United Kingdom, Germany, United Arab Emirates, India, Hong Kong, China, Singapore, and Australia. Evertz was named one of Canada’s 50 Best Managed Companies, which recognizes excellence in Canadian-owned and Canadian-managed companies. Canada’s 50 Best Managed Companies identifies Canadian corporate success through companies focused on their core vision, creating stakeholder value and excelling in the global economy

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