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Machine Learning Engineer with LLM @
3 weeks ago
- Commercial experience working with Large Language Models (LLMs) – mandatory.
- Minimum of 3 years of experience in the industry.
- Advanced knowledge of Python for data processing and scripting.
- Proficiency in managing and effectively utilizing SQL databases.
- Strong problem-solving skills and attention to detail.
- Fluent in English.
- Communicative Polish language skills.
- Experience with Infrastructure as Code
- Excellent communication skills with the ability to engage stakeholders and gather requirements.
- Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Hands-on experience with one or more cloud computing platforms (Azure, AWS, GCP).
- In-depth knowledge of AI ethics, bias mitigation, and responsible AI practices.
Job Description:
Seniority: Mid with 3+ years of relevant experience
Responsibilities:
- Building data acquisition and processing pipelines supporting AI/ML models, with emphasis on quality and scalability.
- Developing machine learning models in cloud environments, such as AWS or GCP. Fine-tuning and optimizing large language models (LLMs) for various business applications.
- Collaborating with cloud engineering teams to integrate and deploy models.
- Monitoring performance and optimizing deployed AI/ML solutions.
- Regularly reporting project progress and results to the team and stakeholders. Maintaining the highest ethical standards and promoting responsible AI development practices.
Requirements:
- Experience in working with Computer Vision is a mandatory requirement.
- Advanced Python knowledge for data processing and scripting.
- Proficiency in SQL data stores and appropriate use cases.
- Strong problem-solving skills and attention to detail.
- Communicative Polish language.
- Fluent English.
Salary: 11 000 - 16 000 PLN B2B
Remote vs Onsite: Remote
Wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez NUMLABS sp. z o.o. z siedzibą w: Emaus 5, 30-201 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu
,[As a Mid Machine Learning Engineer, you will design, build, and maintain data pipelines to support AI/ML models, ensuring data quality and scalability. You'll develop and implement AI architectures in cloud environments such as AWS, Azure, or GCP, working closely with cloud engineers for seamless integration and deployment. Your role includes deploying and fine-tuning large language models (LLMs) for various business applications, while ensuring they are scalable, efficient, and secure. You will integrate ethical considerations into AI development, promoting responsible AI practices across all projects. Additionally, you'll collaborate with stakeholders to understand business needs, translate them into technical requirements, and provide clear updates on project progress.] Requirements: Data science, Python, Cloud computing, NoSQL, Use cases, AI, Cloud, Machine learning, Computer vision, SQL, Infrastructure as Code, CI/CD, Docker, Kubernetes, Azure, AWS, GCP Additionally: Sport subscription, Small teams, International projects, Free coffee, Shower, No dress code.