Design and implement solutions that structure medical data efficiently, support clinicians in creating medical documentation and improve overall patient visit workflow.
responsibilities :
Improve quality of results from LLMs by applying various techniques like fine-tuning Large Language Models (LLMs) for the medical domain
Collaborate with other team members as well as healthcare professionals to understand their needs, translate them into technical requirements and evaluate feasibility of solutions
Lead the evaluation and adoption of new technologies and methodologies from the domain of AI, machine learning and NLP
Provide technical leadership to other team members
Communicate complex technical details in an understandable manner to non-technical stakeholders
Adhere to ethical AI practices and data privacy regulations
Gain understanding of medical terminologies and clinical data models
requirements-expected :
Professional hands-on experience in software engineering, with a focus on NLP, generative AI and general software engineering practices.
Proficiency in Python or Java with experience in libraries used for interacting with LLMs (LangChain, AutoGen, LangChain4J, Huggingface or vendor-specific libraries)
Experience with deep learning models, especially Large Language Models, including fine-tuning, RAG, function calling, implementation and optimization of models like GPT-4, Gemini, Claude, Mistral, PaLM 2 etc.
Experience with delivering LLM-powered applications to production environments, including observability and evaluation on productionalized applications
Experience in Prompt Engineering and various prompting techniques (eg. few-shot prompting) to enhance LLM’s performance on specific tasks.
Strong experience working with machine learning and natural language processing techniques and tools.
Ability to deliver solutions from ideation until production
Professional experience with cloud platforms like AWS, Azure or Google Cloud with focus on cloud services related to machine learning, NLP
Proven track of leading a cross-functional technical team
Fluent English
offered :
Financial transparency: the salary is: 23 520 – 28 880 PLN (140- 160 PLN/h) + VAT
Clear wage model. 7N Consultants know exactly what’s 7N fee for its agent role on the project
Professional development support. We subsidize trainings, technical certificates, conference participation, and foreign language classes. Additionally, 7N Consultants have opportunities to take part in internal training sessions and develop their interpersonal skills within the framework of the 7N Secret Code
Access to e-learning platforms: internal – 7N Academy with recordings of technical trainings (e.g. AWS, Azure, AI, DevOps, Data Science, etc.), inspiring webinars (e.g. healthy eating, personal finance, language learning, etc.), and external platforms: Coursea, Mentorix
Cloud Path - a development program that includes online trainings on AWS and Azure, ending in a certification exam. Each participant receives access to e-learning platforms: Microsoft ESI, Google Cloud Platform
An opportunity to join 7N Inspiration Team - a group of 7N Consultants who consistently and actively share their professional knowledge and expertise
Career Development Program – a mentoring program that includes exploring your individual predispositions and preferences for career paths; providing insight into the latest trends and valuable positions in the IT industry. Participants meet with Career Agents and/or 7N Mentors
Cooperation with real experts – the average professional experience of a 7N consultant is 10 years
Comprehensive and personal project support from one of a 7N Agent. Priority regarding project continuity and quality
Numerous (10-12 each year) high-end events – both online and offline
Healthcare, Benefit Multisport and life insurance subsidies regardless of cooperation model. Access to Mindgram, a psychological support and professional development platform
Professional and quality-oriented recruitment process led by the most experienced recruiters in the industry
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
