We're looking for a ML Engineer focused on advancing capabilities through data analysis and experimentation. This mid level role requires 2+ years of relevant experience.
About the role
Deploy and monitor machine learning models and algorithms in production both on-premises and in cloud environments.
Develop and optimize data processing and feature engineering pipelines.
Build APIs and microservices that support machine learning models.
Implement model performance monitoring and drift detection.
Write high-quality, efficient and well-documented code.
Conduct code reviews and mentor junior engineers on best practices for software development.
Perform data analysis and generate insightful reports to support business decisions.
Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
A minimum of 2 years of experience in software engineering, data science or a related field in IT.
Proficient in programming languages such as Python, Java or C++.
Knowledge of data science libraries and frameworks like Pandas, NumPy and Scikit-learn.
Understanding of machine learning concepts, algorithms, model evaluation metrics and feature engineering.
Experience with SQL, database management and application development in a Linux server environment
Proficiency with version control systems (e.g., Git).
Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
Familiarity with container platforms (e.g., Docker, Kubernetes), streaming platforms (e.g., Apache Kafka), ML Ops tools (e.g., MLFlow,) and CI/CD concepts.
Medical, dental and vision insurance.
Company paid life insurance.
401(k) savings plan with company match.
Paid time off and paid holidays.
Results-based incentive pay program where you can earn above and beyond your base pay.