Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
Job description
Key Responsibilities
- Assist in Developing and Deploying Machine Learning Models: Support the development and deployment of machine learning models including data preprocessing and performance evaluation in Python using sklearn numpy and other standard libraries.
- Build and Maintain ML Pipelines: Help build and maintain scalable ML pipelines and assist in automating model training workflows in Python using MLFlow Databricks Sagemaker or equivalent.
- Collaborate with CrossFunctional Teams: Work with product and data teams to align ML solutions with business needs and objectives.
- Write Clean and Documented Code: Write clean welldocumented code following best practices for testing and version control. Use Sphinx and other auto documentation solutions to automate document generation.
- Support Model Monitoring and Debugging: Assist in monitoring and debugging models to improve their reliability and performance.
- Participate in Technical Discussions and Knowledge Sharing: Engage in technical discussions code reviews and knowledgesharing sessions to learn and grow within the team.
DaytoDay Activities
On a daily basis you will work closely with senior ML engineers and data scientists to support various stages of the machine learning lifecycle. Your daytoday activities will include:
- Data Preprocessing: Cleaning and preparing data for model training ensuring data quality and consistency.
- Model Training: Assisting in the training of machine learning models experimenting with different algorithms and hyperparameters.
- Performance Evaluation: Evaluating model performance using appropriate metrics and techniques and identifying areas for improvement.
- Pipeline Maintenance: Building and maintaining ML pipelines ensuring they are scalable and efficient.
- Code Development: Writing and maintaining clean welldocumented code following best practices for testing and version control.
- Model Monitoring: Monitoring deployed models to ensure they are performing as expected and assisting in debugging any issues that arise.
- Collaboration: Participating in team meetings sprint planning and daily standups to stay aligned with project goals and timelines.
Sprint and Team Collaboration
As part of an agile team you will participate in sprint planning sessions to define and prioritize tasks for each sprint. You will work on assigned tasks collaborate with team members to overcome challenges and provide updates during daily standup meetings. At the end of each sprint you will participate in sprint reviews to demonstrate completed work and gather feedback as well as sprint retrospectives to discuss what went well and identify areas for improvement. This collaborative environment will provide you with opportunities to learn from experienced team members contribute to the teams success and grow your skills as a machine learning engineer.
Qualifications :
Qualifications
- Bachelor of Engineering or equivalent
- 35 years experience building data products
- Python experience
- Experinece working in cloud environment with one of Databricks Azure or AWS
Additional Information :
Our uniqueness is that we truly celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI work/life balance development authenticity engagement collaboration wellness reward & recognition volunteering... the list goes on. Experians strong people first approach is award winning; Great Place To Work in 24 countries FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion color sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
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Benefits
Experian care for employees work life balance health safety and wellbeing. In support of this endeavor we offer bestinclass family wellbeing benefits enhanced medical benefits and paid time off.
Experian Careers Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
