Sr Data Scientist Machine Learning Engineer

"All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment" Job Title: Sr Data Scientist / Machine Learning Engineer with LLM applications development Location: South San Francisco, CA (Onsite ) Duration: 12 months Pay rate: $ 90hr - $92.78 hr on W2 AI Job description: Must Have: Recent LLM application development experience, in particular RAG applications. Strong general software development skill Good collaborator in a diverse team. Targeting level II ( 3-5 Years experience) senior level Data Scientist / ML engineer. Work location: We prefer this individual to work on site at SSF campus. Education / Years of Experience: Master in a quantitative field (e.g. mathematics, statistics, computer science, EE, etc.), and/or Life Sciences degree with significant computational experience, or equivalent, with 5 year working experience in Data Science. PhD a plus. 2 years of commercial Data Engineering / ML Engineering / MLOps / UI/UX engineering experience 3 years of commercial software engineering experience Job description: We are looking for a Sr Data Scientist with experience in Machine Learning Engineering to join the Product Development Digital Strategy & Enablement team (PD-DSE). In the DSE we focus on delivering technology that evolves the practice of medicine and helps patients live longer, better lives. We are a diverse team of open and friendly people, enthusiastic about technological novelties and optimal enterprise solutions. We share knowledge, and experience & appreciate different points of view. As a Senior Data Scientist, you will work closely with multi-disciplinary teams to design, develop and deploy structured, high-quality data solutions in particular Large Language Model (LLM) applications. These solutions will be leveraged across the PD organization to help our teams fulfill our mission: to do now what patients need next. 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, and 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 use 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 / GCP), 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 Problem-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 plus Experience with clinical study data a plus About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.