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Machine Learning Engineer
Fairmatic
posted 9d ago
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Flexible timing
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Job Description
At Fairmatic were on a mission to make roads safer, one fleet at a time.
Fairmatic is revolutionizing the auto insurance industry by using data and AI to personalize options and incentivize safe driving with savings. Our predictive risk models have been trained with 200 billion miles of driving data and tested with hundreds of thousands of paying drivers.
Fairmatics leadership team includes serial entrepreneurs, insurance industry innovators, and startup veterans who have raised over $88M in funding in less than a year.
Join our global team of curious, adaptable technologists and problem solvers who are passionate about creating a positive impact on the world!
About the role:
We are looking for a talented and motivated Machine Learning Engineer to join our Data Science team. Risk Data Science and Machine Leaning Engineering is the core of what we do in Fairmatic. You will help develop and productize machine learning models predicting claims frequency and severity and develop GenAI services. You will help to enhance other aspects of rating, claims, and the customer experience (e.g. insight to improve fleet safety). This role involves continuous experimentation, designing solutions, and an iterative approach to productizing our learnings. You will work closely with product management, data scientists and other product/engineering teams.
A day in the life:
- Understand business requirements, develop, train and operationalize models that cohesively integrate with the product and continuously benchmark their performance
- Work on GenAI services end-to-end, from ideation and experimentation to deployment and optimization for real-world use cases.
- Identify new features, and ensure data quality by supervising and defining data acquisition parameters
- Analyze data to identify patterns or anomalies that could affect model performance
- Work alongside data scientists to develop new techniques, algorithms and systems to improve model performance
- Develop a platform that allows us to quickly and iteratively conduct experiments, test, refine, deploy and productize new models
- Develop APIs and ML libraries for easy integration with other services
- Contribute to and consistently raise the bar for engineering best practices including coding standards, writing well-tested code and extensible reusable libraries.
- Exemplify and foster Fairmatic s humble, collaborative and impact-obsessed culture
If you feel we re describing you, it was meant to be
- Bachelors Degree in Computer Science, Data Science or Software Engineering.
- Masters Degree in Machine Learning, Artificial Intelligence, or Data Science - Advantage
- 3+ years in Machine Learning, writing and maintaining production-grade ML systems that are designed to be performant, scalable and resilient
- Ability to write robust Python code with familiarity with machine learning frameworks and libraries (like scikit-learn and pandas)
- Experience with cloud frameworks (like AWS sagemaker) and other MLOps tools for orchestration (like AirFlow) and experiment tracking (like MLFlow and weights & biases)
- Experience in writing SQL queries for exploring and analyzing datasets
- Understanding of HTTP APIs, and working in containerized environments in the cloud
- Good knowledge of math, probability, statistics and machine learning algorithms
- Excellent verbal/written communication skills
- Self-driven and able to work independently
- Proactive learning and staying updated on emerging trends in AI/ML
- Comfortable collaborating with a diverse, global team across different time zones and cultural contexts to drive innovative solutions.
- Ability to work in a highly agile, intensely iterative software development process.
Some of our Bangalore Office Benefits & Perks:
Unlimited PTO!
Employee Health Insurance Program
Hybrid working model
Mobile and home internet allowance
Pension contribution
Wellness and entertainment allowance
Awesome Fairmatic gifts and swag!
We are always on the hunt for talented individuals!
Join us and let s fulfill our mission to make roads safer, one fleet at a time.
Employment Type: Full Time, Permanent
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based on 2 employees
Flexible timing
Monday to Friday
International travel
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