AI/ML Software Engineer

Description

Our customer is a global leader in digital media and entertainment services across film, video and online content from capture to consumption.

Since 1915, our customer has been the trusted partner for the world’s most successful Hollywood studios, independent film companies, TV networks, exhibitors, advertisers and others, offering best-in-class solutions in production, post production, distribution, asset and workflow management and new digital solution-based technologies.

This position is ideal for individuals who have the drive and desire to ‘make things’. It requires a highly motivated individual with attention to details and a hunger to learn and solve problems.

Requirements

Shifted working hours – Readiness to work till 12 AM Kyiv time

Required Experience

• 5+ years of experience working on machine learning applications and deploying AI/ML models into production environments;
• Proficiency in Python and experience in machine learning frameworks, (i.e. PyTorch, Tensorflow);
• Strong understanding of AI/ML concepts, algorithms, and technologies.
• Experience building and automating scalable machine learning pipelines in cloud ecosystems (Azure, AWS, GCP);
• Familiarity with cloud tools like S3, EC2, SageMaker, and Lambda;
• Expertise in neural networks, computer vision, NLP, and/or reinforcement learning;
• Advanced knowledge of Machine Learning models and LLM.

Preferred Experience

• Experience with any of the following: NVIDIA Enterprise AI Solutions, AWS Sagemaker, AWS Bedrock, AWS Clean Rooms, Data Lakes
• Experience with building and fine tuning various image, text, audio, and video classification models, such as shot/scene detection, captions, object labeling, attention scoring, etc.
• Experience with Media and Entertainment industry file formats and applications (IMF, Protools, MXF, 3D, etc)

Job responsibilities

An engineer in this position will design, develop, and architect services for the platform, in addition to:

• Contributing to cutting-edge R&D initiatives including service integration with emerging
  frameworks and platforms.
• Assisting with technical resolution of issues on mission critical production systems (you build it, you own it, you run it.)
• Thinking out of the box to come up with solutions that scale, are fault-tolerant, easy to grasp and elegant.