Job Description

Responsibilities:

• Architect and implement solutions that structure medical data efficiently.
• Develop and fine-tune deep learning models, particularly 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 guidance and mentorship 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.

Qualifications:

• 5 years of hands-on experience in software engineering, with a focus on NLP and machine learning
• Proficiency in Python with experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, Huggingface, AutoGen etc.
• Experience with deep learning models, especially Large Language Models, including fine-tuning, RAG, function calling, implementation and optimization of models like GPT-4, BERT, LLaMA etc.
• Strong experience working with machine learning and natural language processing techniques and tools.
• Professional experience with cloud platforms like AWS, Azure or Google Cloud
• Ability to drive a project and work both independently and within a cross-functional team.

Additional:

• Hands-on experience working with standard medical terminologies like SNOMED, LOINC, RxNorm
• Hands-on experience with clinical data models and using NLP to explore EHR records
• Experience in Prompt Engineering and few-shot techniques to enhance LLM\'s performance on specific tasks.
• Understanding of deep learning model classes such as GPT, VAE, and GANs.
• Experience with OCR and understanding of its application in document analysis and recognition
• Experience with AWS Cloud Services, specifically related to machine learning (SageMaker, Bedrock, Comprehend, Lex, Textract, etc.).
• M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree

What do we appreciate?

• Effectively communicates technical concepts to both technical and non-technical stakeholders
• Great written and verbal communication in English
• Open mindset, ability to experiment and provide innovative solutions
• Proactivity and curiosity
• Team player
• Interest in the Neuroscience domain
• EU / MYT timezone
• Nice to have: experience with creating a product from scratch

About Accenture:Accenture is a leading global professional services company that helps the world\'s leadingbusinesses, governments and other organizations build their digital core, optimize theiroperations, accelerate revenue growth and enhance citizen services\xe2\x80\x94creating tangible value atspeed and scale. We are a talent- and innovation-led company with 742,000 people servingclients in more than 120 countries. Technology is at the core of change today, and we are one ofthe world\'s leaders in helping drive that change, with strong ecosystem relationships. Wecombine our strength in technology and leadership in cloud, data and Al with unmatchedindustry experience, functional expertise and global delivery capability. We are uniquely able todeliver tangible outcomes because of our broad range of services, solutions and assets acrossStrategy & Consulting, Technology, Operations, Industry X and Song. These capabilities,together with our culture of shared success and commitment to creating 3600 value, enable usto help our clients reinvent and build trusted, lasting relationships. We measure our success bythe 3600 value we create for our clients, each other, our shareholders, partners andcommunities. Visit us at .Equal Employment Opportunity StatementAll employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.Accenture is committed to providing veteran employment opportunities to our service men and women.

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