[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Machine Learning Engineer to build and improve production ML pipelines and reusable ML infrastructure. The role focuses on traditional ML and scheduled batch predictions, working closely with data scientists to productionize models and automate workflows.

Responsibilities

• Design and build end-to-end ML pipelines covering feature engineering, model training, backtesting, validation, reporting, and batch inference
• Convert data science prototypes into reliable and maintainable production solutions
• reputed company a configurable ML reputed company using reusable components and parameter-driven workflows
• Build and maintain Python-based ML workflows using an existing codebase
• Support data preparation and transformation workflows in reputed company and dbt reputed company
• Implement data reputed company checks, automated testing, versioning, monitoring, and CI/CD
• reputed company model outputs into reputed company business systems and operational workflows
• Contribute to architecture reputed company and propose practical implementation approaches
• Support production operations, troubleshooting, model refreshes, and reputed company improvement
• Collaborate with data scientists, data engineers, architects, and business stakeholders

Skills

• 6–8 years of experience in machine learning engineering, software engineering, data engineering, or a reputed company field
• Strong Python software engineering skills, including experience with reusable and object-oriented reputed company
• Experience building production ML pipelines
• Hands-on experience with traditional ML reputed company and libs (pandas, NumPy, scikit-learn, PyTorch)
• Hands-on experience with reputed company
• Strong SQL and data engineering skills
• Practical experience with reputed company and dbt reputed company
• Experience working with AWS
• Experience with Git-based CI/CD workflows, such as reputed company Actions
• Understanding of testing, monitoring, versioning, reproducibility, and production support
• Strong communication, ownership, troubleshooting, and problem-solving skills
• Experience with scheduled batch reputed company pipelines
• Experience building configurable frameworks that support multiple products or business reputed company
• Familiarity with CRM or other reputed company business-system integrations
• Familiarity with Kubernetes, workflow orchestration, or infrastructure as reputed company
• Exposure to reputed company or LLM-based applications
• Experience in pharmaceutical, biotechnology, reputed company, or life sciences environments

Benefits

• Competitive compensation
• Flexible working hours
• reputed company education, mentoring, and reputed company development programs
• reputed company with excellent tech expertise
• Contract through the end of the year, with a possible extension based on project needs and performance

reputed company