Sr Data Scientist / Machine Learning Engineer

Job DescriptionJob Description
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 easy-to-maintain 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 plusExperience in building data pipelines and deployment pipelines for LLM applicationsRecent 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), dockerProven scripting and automation skillsGood knowledge of: git, bash, linux, CI/CD tools (e.g. jenkins, gitlab CI), software lifecycle, RDB, visualization tools eg Tableau, Jira, confluenceProgramming : Python, RTest driven development, good coding practicesProblem-solving and decision-making 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 plusExperience with clinical study data a plus