Senior Machine Learning Engineer - Forecasting

1. About Our Client:

The organization operates in the biotechnology industry, focusing on developing treatments for serious illnesses. Since 1980, it has contributed to advancing biotech solutions across therapeutic areas such as oncology, inflammation, general medicine, and rare diseases, reaching millions of patients annually. The organization addresses challenges in healthcare by researching, manufacturing, and delivering innovative medicines aimed at improving patient outcomes and quality of life. Its culture emphasizes collaboration, scientific rigor, and innovation.

2. About the Opportunity:

The Senior Machine Learning Engineer - Forecasting will design, build, deploy, and maintain scalable machine learning systems that enhance forecasting and decision support across the organization. This role translates advanced forecasting techniques into reliable, production-grade solutions that support critical business processes and strategic planning. The position is key to creating robust ML infrastructure and enabling data-driven decision-making for multi-horizon planning.

3. Responsibilities:

• Design and maintain scalable ML systems and forecasting pipelines for demand forecasting over varied time horizons

• Productionize statistical, Bayesian, and ML forecasting models including training, validation, deployment, and lifecycle management

• Build and optimize data pipelines, feature engineering workflows, and inference systems for large datasets

• Manage end-to-end ML engineering lifecycle including design, prototyping, integration, testing, deployment, monitoring, and continuous improvement

• Develop MLOps capabilities such as model versioning, CI/CD, automated retraining, performance monitoring, drift detection, and rollback strategies

• Collaborate with data scientists and business stakeholders to operationalize forecasting and simulation tools for strategic decision-making

• Promote software engineering best practices including code quality, documentation, reproducibility, and system reliability

• Research emerging ML tools, platforms, and methodologies for potential business applications

4. Requirements:

• Doctorate degree OR

• Master’s degree with 2 years of enterprise data science experience OR

• Bachelor’s degree with 4 years of enterprise data science experience OR

• Associate’s degree with 8 years of enterprise data science experience OR

• High school diploma/GED with 10 years of enterprise data science experience

Preferred:

• 6+ years in machine learning or software engineering with production ML deployment experience

• Expertise in end-to-end ML pipeline development for forecasting or predictive modeling

• Experience operationalizing probabilistic, Bayesian, or predictive models in production

• Proficiency in Python and SQL, and tools such as scikit-learn, PyTorch, TensorFlow, and ML workflow orchestration

• Experience with cloud platforms, distributed data processing, containerization, and ML deployment

• Strong software engineering fundamentals including system design, testing, optimization, and maintainability

• Effective collaboration and communication skills across technical and non-technical teams

• Ability to develop scalable solutions from ambiguous problems independently

• Experience with forecasting models in biotech or pharma, including knowledge of healthcare commercial concepts

• Experience partnering with data scientists to deliver reliable production services

• Experience applying ML and forecasting in retail, consumer goods, supply chain, or manufacturing

• Familiarity with model monitoring, explainability, and governance in regulated or high-impact environments

5. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.