- 2+ years of development experience in the ML domain (train and understand deep learning models, optimization, evaluation, and all the data aspects, fine-tune LLMs for specific business problems)
- Experience with Deep learning (must)
- LLMs + multi-modal (must)
- Computer vision, NLP – will be a plus.
- Experience with AWS, AWS SageMaker (must), AWS Bedrock.
- Hands-on experience with modern machine learning libraries and frameworks, e.g. TensorFlow or Pytorch
- Understanding of CS fundamentals such as Distributed Systems, Database Systems, Operating Systems, algorithms, and data structures.
- Hands-on coding and debugging experience using modern software delivery methods to develop services using Python, Go, or JVM-based languages (Java, Kotlin).
- Experience with designing and owning highly available, fault-tolerant backend systems using cloud storage services.
- Experience building software for database administration or experience with devops for databases is a plus.
N-iX is looking for a Senior Machine Learning Engineer to join the team.
Our client is a leading global provider of high-quality licensed images, videos, and music. The company helps inspire graphic designers, creative directors, video editors, filmmakers, web developers, and other creative professionals by providing diverse content to businesses, marketing agencies, and media organizations around the world.
,[Contribute to the implementation of large-scale and low-latency services, elegant abstractions, shareable libraries, and robust APIs., Partner with other engineering teams vendors to develop reliable and scalable, solutions to a wide range of problems., Review others’ work and provide reinforcing and constructive feedback to meet high-quality standards.] Requirements: Deep learning, LLMs, AWS, AWS SageMaker, AWS Beanstalk, PyTorch, Python, Go, Computer vision, NLP Tools: Agile, Scrum. Additionally: Flexible working hours and remote work possibility, Mentoring program, Life insurance, Training budget, English lessons, Compensation of Certifications, Active tech community, International team, Referral program, Cafeteria, Modern office, Free coffee, Kitchen, Friendly atmosphere.
cloud-storage Go Natural language processing (NLP) data-structures Python Amazon Web Services (AWS) Computer Science JVM Kotlin distributed-systems DevOps deep-learning Machine Learning Java TensorFlow Amazon SageMaker algorithms Database engines computer-vision Amazon Bedrock LLM operating-systems PyTorch