Key Accountabilities:
Partner with fellow Data Scientists ML engineers MLOps / DevOps engineers and cross functional teams to solve complex problems and create unique solutions by using modern NLP technologies in particular LLMs.
Build data pipelines and deployment pipelines for ML models.
Development of ML models according to business and functional requirements.
Able to help deploy various models and tune them for better performance.
Document and communicate the design and implementation details.
Contribute to the DSE AI team on technical decisions.
Collaborate with clients informatics departments to deploy scalable and easytomaintain solutions.
Serves as a technical point of contact for enterprise wide technologies solutions. Leads complex troubleshooting efforts and root cause analysis.
Qualifications:
Experience with LLM applications development including tool using and reasoning for instance RAG solution and code interpreter.
Experience with LLM fine tuning a big plus
Experience in building data pipelines and deployment pipelines for LLM applications
Recent experience with ML/AI toolkits such as AWS Sagemager (other toolkits like Pytorch Tensorflow Keras MXNet H20 etc are nice to have).
Experience with MLOps technologies (Sagemaker Vertex AI Kubeflow)
Experience with cloud solutions (AWS / Azure / Google Cloud Platform) docker
Proven scripting and automation skills
Good knowledge of: git bash linux CI/CD tools (e.g. jenkins gitlab CI) software lifecycle RDB visualization tools eg Tableau Jira confluence
Programming languages: Python R
Test driven development good coding practices
Problemsolving and decisionmaking skills.
Good interpersonal skills.
Customer & delivery focus.
Ability to work effectively with team members and virtual teams from different locations and different cultural backgrounds.
Experience with deployment of scalable apps a plus
Experience with clinical study data a plus
pipelines,customer focus,scalable apps,delivery focus,clinical study data,problem-solving,python,deployment pipelines,cloud solutions,ml models,nlp,visualization tools,tableau,automation,linux,scripting,bash,decision-making,jira,git,data pipelines,ci/cd tools,llm fine tuning,gitlab ci,r,interpersonal skills,mlops technologies,ml,llm applications development,rdb