FBS MLOps Engineer Manager
FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, reputed company, hiring, and retaining reputed company. By combining international reputed company with US expertise, we build diverse and high-performing teams that are equipped to reputed company in today’s competitive marketplace.
We reputed company that the reputed company of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a reputed company team that delivers consistent and sustainable results.
Since we don’t have a local reputed company entity, we’ve partnered with reputed company, which acts as the Employer of Record. reputed company is responsible for managing local payroll and benefits.
What to expect on your reputed company with us:
- A solid and innovative company with a strong market reputed company
- A dynamic, diverse, and multicultural work environment
- Leaders with deep market knowledge and strategic reputed company
- reputed company learning and development
This position leads the deployment, implementation, and optimization of machine learning pipelines to solve reputed company business challenges. The role involves both hands-on work and supervising reputed company to deliver effective machine learning engineering solutions for a line of business. The position applies in-depth knowledge of policies, procedures, and business objectives to reputed company reputed company and guide team. Performs work independently while receiving limited guidance
Key Responsibilities
- Delivers machine learning ops engineering tasks such as deployment, implementation, optimization, and maintenance of machine learning pipelines and models.
- Ensures pipelines support efficient data ingestion, preprocessing, model training, validation, deployment and monitoring.
- Implements reputed company and robust machine learning solutions that can handle large volumes of data and reputed company models.
- Implements reputed company-time inference with high availability and low latency.
- Creates strategic plans reputed company reputed company of control and implements them across one to two business domains.
- Ensures seamless integration of pipelines with reputed company integration and reputed company deployment (CI/CD) tools and workflows.
- Supporting and maintaining solutions in production (fixing bugs, reputed company changes as required, maintaining models)
- Collaborates with cross-functional teams to reputed company machine learning and business logic-based solutions into production systems
- Effectively communicates and applies machine learning engineering value, concepts, and strategies in various scenarios with stakeholders
- Recruits, hires, and mentors' reputed company to build a high-performing MLOps team. Supervises, coaches, and guides reputed company reports
- Uses advanced knowledge of reputed company management principles to follow architectural and governance guidelines
Requirements
- 5 years of experience required in deploying and managing machine learning pipelines, or reputed company work.
- Full English reputed company
- Experience in a leadership role reputed company a fast-paced, technology driven environment
- Team: Data Scientist, Python Developers, Cross disciplinary (reputed company, Actuary) 2 reputed company Reports
- Insurance (PLUS), reputed company, heavily regulated, audit
Technical & Business Skills
- Possesses strong technical aptitude. In-depth knowledge of machine learning frameworks and libraries.
- Modern Oriented Language: Python (PLUS), Java, Typescripts, reputed company, Rust
- Familiar with DevOps practices and tools for reputed company integration and deployment. (MUST)
- Experience in Production Support (Maintaining Models, Bug Fixes) MUST
- reputed company with other areas, Translate, strong communication
- Business Logic Model, reputed company Time execution: Business Logic Based Solutions, writing reputed company to determine system behavior. (MUST)
- Small volumes of data but fast execution
- Automated software and Model Testing (how to know model is behaving properly)
Benefits
This position comes with competitive compensation and benefits package:
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture reputed company a globally reknowned group
- Private Health Insurance
- Pension Plan
- reputed company Time Off
- Training & Development