Senior Machine Learning Engineer
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
$140,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
InternshipJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries
Requirements
Candidates should possess familiarity with traditional machine learning algorithms such as classification and regression, and experience with MLOps processes, along with expertise in building, testing, measuring, and deploying machine learning models in production. They should also have experience with LLM engineering, including fine-tuning foundation models like GPT-4 and Claude, implementing Retrieval-Augmented Generation (RAG) systems, and prompt engineering, alongside knowledge of vector databases and embedding models. Furthermore, candidates are expected to have prior engineering project leadership experience utilizing Python (Scikit-learn, TensorFlow, PyTorch, Pandas, Numpy, Scipy), SQL, Linux/Mac command-line tools, and familiarity with agile software development methodologies.
Responsibilities
As a Senior Machine Learning Engineer, you will lead the design and development of ML applications across the product portfolio, with a strong focus on generative AI and large language model (LLM) solutions, providing architecture and shaping coding standards. You will evangelize best practices for software engineering, partner with multiple teams to encourage code reusability and continuous improvement, guide the transformation of human data into prototypes, research industry tools and techniques, and meet frequently with stakeholders to understand business and technical variables and distill them into strategic choices. You will also work with external customers as a consultant or solution Machine Learning Engineer, prepare and submit conference and journal articles, and support multiple scrum teams.
Skills
Python
Scikit-learn
TensorFlow
PyTorch
Pandas
Numpy
Scipy
SQL
Linux
Mac command-line tools
Agile
Prompt Engineering
RAG
Vector Databases
Embedding Models
GPT-4
Claude
LLM
Generative AI
IQVIA
Advanced analytics and clinical research services
About IQVIA
IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.
Durham, North CarolinaHeadquarters
1998Year Founded
$3,526MTotal Funding
POST_IPO_EQUITYCompany Stage
Cybersecurity, Biotechnology, HealthcareIndustries
10,001+Employees