Requirements: English
Company: Provectus
Region: Wroclaw , Lower Silesian Voivodeship
- Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
- Strong expertise in AWS Cloud Services;
- Strong experience in ML/AI, including at least 2 years in a leadership role;
- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
- Familiarity with MLOps tools and best practices;
- Excellent problem-solving and decision-making abilities;
- Strong communication skills and the ability to lead cross-functional teams;
- Passion for mentoring and developing engineers.
,[Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;, Drive the roadmap for machine learning projects aligned with business goals;, Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery., Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;, Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;, Stay ahead of advancements in LLMs and apply emerging technologies;, Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML., Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);, Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;, Ensure best practices in security, monitoring, and compliance within the cloud infrastructure., Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;, Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;, Debug, troubleshoot, and optimize production ML models for performance., Conduct regular code reviews and ensure engineering standards are upheld;, Facilitate professional growth and learning for the team through continuous feedback and guidance;, Communicate progress, challenges, and solutions to stakeholders and senior leadership.] Requirements: Machine learning, AWS SageMaker, AWS, MLOps Additionally: Private healthcare, International projects.