Job VC
Senior Algorithm Engineer
Technologies
Description
Our Customer:
This opportunity is with an innovative product company building advanced AI-powered solutions for large-scale video analysis. The platform processes massive volumes of visual data and transforms them into meaningful insights using a combination of Computer Vision, machine learning, and scalable cloud infrastructure.
The team operates at the intersection of research and engineering, creating systems that are not only intelligent but also production-ready. The environment is fast-paced and focused on continuous experimentation, where adopting new AI tools and approaches is part of everyday work.
Your tasks:
Design and develop advanced Computer Vision and Machine Learning algorithms using Deep Learning approaches
Work with large-scale datasets to extract insights, detect patterns, and build predictive models
Build, scale, and maintain infrastructure for integrating and running algorithms in production
Deploy and manage AI/ML solutions in cloud environments
Own the full lifecycle of solutions: from research and prototyping to implementation and optimization
Develop and support backend systems, cloud infrastructure, and DevOps processes
Continuously explore and adopt new AI tools, models, and workflows to improve efficiency and results
Required experience and skills:
8+ years of commercial software development experience
4+ years of hands-on experience with Python
Hands-on experience with building, scaling, and maintaining infrastructure for AI/ML systems
Experience with deploying models and services to cloud environments (AWS, GCP), including CI/CD pipelines
Understanding of containerization and orchestration (e.g., Docker, Kubernetes or similar tools)
Strong hands-on experience with PyTorch and/or TensorFlow
Deep expertise in Computer Vision, especially in video data processing
Proven experience working with large datasets and building analytical or predictive models
Experience with Big Data tools such as Spark, PostgreSQL, Elasticsearch, or Redis
Ability to work independently and take ownership of complex solutions from idea to production
Strong interest in AI and continuous learning, with readiness to quickly adopt new technologies
English — Upper-Intermediate or higher
Would be a plus:
Experience with Generative AI and modern LLM/VLM ecosystems
Hands-on experience with advanced AI models and tools
Experience with Computer Vision libraries such as OpenCV
Familiarity with AI-assisted development tools and workflows
Experience working in product or startup environments
This opportunity is with an innovative product company building advanced AI-powered solutions for large-scale video analysis. The platform processes massive volumes of visual data and transforms them into meaningful insights using a combination of Computer Vision, machine learning, and scalable cloud infrastructure.
The team operates at the intersection of research and engineering, creating systems that are not only intelligent but also production-ready. The environment is fast-paced and focused on continuous experimentation, where adopting new AI tools and approaches is part of everyday work.
Your tasks:
Design and develop advanced Computer Vision and Machine Learning algorithms using Deep Learning approaches
Work with large-scale datasets to extract insights, detect patterns, and build predictive models
Build, scale, and maintain infrastructure for integrating and running algorithms in production
Deploy and manage AI/ML solutions in cloud environments
Own the full lifecycle of solutions: from research and prototyping to implementation and optimization
Develop and support backend systems, cloud infrastructure, and DevOps processes
Continuously explore and adopt new AI tools, models, and workflows to improve efficiency and results
Required experience and skills:
8+ years of commercial software development experience
4+ years of hands-on experience with Python
Hands-on experience with building, scaling, and maintaining infrastructure for AI/ML systems
Experience with deploying models and services to cloud environments (AWS, GCP), including CI/CD pipelines
Understanding of containerization and orchestration (e.g., Docker, Kubernetes or similar tools)
Strong hands-on experience with PyTorch and/or TensorFlow
Deep expertise in Computer Vision, especially in video data processing
Proven experience working with large datasets and building analytical or predictive models
Experience with Big Data tools such as Spark, PostgreSQL, Elasticsearch, or Redis
Ability to work independently and take ownership of complex solutions from idea to production
Strong interest in AI and continuous learning, with readiness to quickly adopt new technologies
English — Upper-Intermediate or higher
Would be a plus:
Experience with Generative AI and modern LLM/VLM ecosystems
Hands-on experience with advanced AI models and tools
Experience with Computer Vision libraries such as OpenCV
Familiarity with AI-assisted development tools and workflows
Experience working in product or startup environments