Machine Learning Architect

Work Schedule
Other

Environmental Conditions
Office

Job Description

At Thermo Fisher Scientific, we offer you the opportunity to engage in meaningful work that positively impacts the world on a global scale. By joining our team, you become part of a mission to enable our customers to create a healthier, cleaner, and safer world. We equip our global teams with the resources needed to achieve their career goals and go beyond the boundaries of science, developing solutions for some of the world's toughest challenges, such as environmental protection, food safety, and finding cures for cancer.

Location/Division Specific Information

Pittsburgh, PA / Customer Channels

How will you make an impact?

• Design and architect machine learning systems to support business objectives and improve decision-making processes.
• Collaborate closely with IT teams, data scientists, and business partners to integrate machine learning solutions with existing systems and applications.
• Evaluate and select appropriate machine learning algorithms and models based on business requirements and data characteristics.
• Develop and implement scalable and efficient machine learning pipelines and workflows.
• Optimize and fine-tune machine learning models to enhance performance and accuracy.
• Conduct thorough testing and validation of machine learning solutions to ensure reliability and robustness.
• Ensure compliance with data governance, security standards, and regulatory requirements in all machine learning initiatives.
• Provide technical leadership and expertise in machine learning, guiding project teams and customers on standard methodologies.
• Stay updated on industry trends and emerging technologies in machine learning to drive innovation and propose novel solutions.
• Collaborate with multi-functional teams to identify and prioritize opportunities for applying machine learning techniques across the organization.
• Prepare and present detailed reports and recommendations to senior management on the status, operation, and maintenance of machine learning systems.

• 1+ years experience as a Machine Learning Architect or similar role, with a strong background in designing and implementing machine learning solutions.
• Proficiency in programming languages such as Python, R, or Java.
• Solid understanding of machine learning algorithms, statistical modeling, and data processing techniques.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of cloud platforms and technologies, such as AWS, Azure, or Google Cloud.

• Experience with ERP systems and Master Data Management (MDM) tools.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Strong attention to detail and a commitment to delivering high-quality solutions.
• Strong project management skills and experience in an Agile development environment.
• Excellent communication and collaboration skills, with the ability to work effectively with multi-functional teams and collaborators.
• Ability to adapt to a fast-paced and dynamic environment, with a drive for continuous learning and improvement.

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount