Staff Machine Learning Engineer
Staff Machine Learning Engineer
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Job Description
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
COMPANY: Thermo Fisher Scientific Inc.
LOCATION: 300 Industry Drive Pittsburgh PA 15275
TITLE: Staff Machine Learning Engineer
HOURS: Monday to Friday 8:00 am to 5:00 pm
DUTIES: Build evaluate productionize and optimize advanced data algorithms to enable machine learning solutions for business applications including customer acquisition upsell and cross-sell customer retention recommendation engines and others.
Architect and code proprietary machine learning models from the ground up when pre-built frameworks and libraries are insufficient for business requirements.
Validate stress-test and troubleshoot ML components that are employed across different applications and write automated tests (unit integration functional) to ensure the stability and accuracy of ML solutions.
Develop and implement monitoring protocols to track model performance ensuring high accuracy relevance and adaptability.
Analyze and interpret performance metrics to guide improvements and ensure ML system accuracy and reliability.
Identify and implement code optimizations to reduce model runtime and improve code performance.
Be a technical leader on the ML team mentoring less experienced data scientists along with defining team best practices and processes.
Collaborate with junior data scientists to deploy ML solutions into production environments integrating them with existing systems and workflows.
Establish team standards for reusable frameworks to streamline model building deployment and monitoring.
Share ideas across the team to come up with the best algorithms and approaches.
REQUIREMENTS: MINIMUM Education Requirement: Masters degree in Statistical Practice Data Science or related field of study. MINIMUM Experience Requirement: 3 years of relevant experience in data science analytics statistics applied math or related experience. Alternative Education and Experience Requirement: Bachelors degree in Statistical Practice Data Science or related field of study plus 5 years of relevant experience in data science analytics statistics applied math or related experience. Required knowledge or experience with: Experience with sales operations tools (e.g. Salesforce); Integrating machine learning models into CRM systems; Mathematical concepts and numerical estimation; Quantitative analysis; Python (or PySpark) and SQL; Experience building and delivering models using Databricks; Experience developing production-quality code in PySpark; Experience working in Agile/Sprint environments; Experience with generative AI techniques and tools such as transformer models (e.g. GPT BERT) to enhance model insights personalization or content generation within sales applications; Experience with version control / source code management systems (Git GitHub). Employer will accept any suitable combination of education experience or training. Experience may be gained concurrently through graduate level course work and/or internships.
Required Experience:
Staff IC
Employment Type
Full-Time
