Senior Machine Learning Engineer at APS leading MLOps initiatives and collaborating across teams. Designing and implementing scalable machine learning solutions with a focus on real - time decision - making.
About the role
- Senior Machine Learning Engineer responsible for optimizing data pipelines and integrating AI/ML solutions. Collaborating with teams to develop self-running AI systems and maintain model performance.
Responsibilities
- Develop and optimize complex data pipelines
- Integrate and optimize data and model pipelines within production environments
- Employ experimental methodologies to create self-running AI systems
- Collaborate with data science teams
- Perform data discovery and analysis of raw data sources
- Engage with internal stakeholders to understand business processes
- Write and maintain model monitoring scripts
- Stay updated with the latest advancements in AI/ML
Requirements
- Undergraduate degree or equivalent experience; a graduate degree is preferred
- Minimum of 8 years of relevant work experience
- At least 3 years of hands-on experience designing ETL pipelines using AWS services
- Proficiency in programming languages, particularly Python
- Familiarity with machine learning libraries and frameworks
- Strong understanding of cloud technologies, including AWS and Azure
- Experience with NoSQL databases
- Familiarity with Feature Store usage, LLMs, and GenAI
- Knowledge of Machine Learning Development Lifecycle (MDLC) best practices
Benefits
- Hybrid working model for flexibility
- Career development programs
- Access to training resources, ensuring continuous learning
- Collaborative and teamwork-focused culture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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