Senior Machine Learning Engineer
United States - Remote
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Accertify
Accertify empowers businesses to stay ahead of emerging threats with a risk management platform that balances customer experience and security. Protect your business with AI, machine learning, and community-driven insights.Be in the driverās seat of your career as a Senior Machine Learning Engineer with the industry leader- and build a career you can trust.
The Senior Machine Learning Engineer will implement and deliver high-impact machine learning solutions that push the boundaries of whatās possible in a high-performance production setting.Ā In this role, you will tackle complex challenges, delivering transformative machine-learning projects that set new standards of excellence and make a lasting impact.
Essential Duties & Responsibilities:Ā
- Design, develop, test, deploy, and maintain scalable, secure software for batch and real-time ML pipelines in a high-throughput and low-latency production environment
- Optimize pipelines to be distributed, parallel, and/or multi-threadedĀ Ā
- Collaborate with cross-functional teams to troubleshoot and optimize data pipelinesĀ
- Demonstrate subject matter expertise and ownership for your teamās servicesĀ
- Present results to stakeholders and executives as neededĀ
- Collaborate with the Data Science, Big Data, and DevOps teamsĀ
- Elevate team performance through mentoring, training, code reviews, and unit testingĀ
- Take ownership of initiatives, propose solutions, and be accountable for projects from inception to completion.Ā
- Bachelor's degree in computer science or equivalentĀ
- 4+ years of experience in software engineering in an enterprise settingĀ
- Knowledge of multiple programming languages, ideally including Python and JavaĀ
- Strong big data processing skills using both relational and NoSQL databasesĀ
- Experience working as a part of a larger engineering team, documenting code, performing peer code reviews, writing unit tests, and following an SDLCĀ
Preferred Qualifications:Ā
- High-volume transactional environment experienceĀ
- Experience deploying ML models in production and familiarity with MLOpsĀ
- Understanding of statistics and machine learning concepts such as traditional and generative ML algorithms; data drift, concept drift, and model decay; model evaluation and validation
- Expertise in Spark and/or Scala
Additional Details:
- Potential salary range: $125-190K. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
- This role is eligible for remote US-based (work-from-home) locations. Chicago-based candidates would work in a hybrid capacity from Accertify's headquarters in Itasca, IL.
- Visa Sponsorship: Employment eligibility to work in the U.S. is required, as Accertify will not pursue Visa sponsorship for this position.
At Accertify, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of yourself and your family!
- Comprehensive Health Coverage: Enjoy peace of mind with medical, dental, and vision insurance options tailored to your needs.
- Generous Time Off: Recharge with paid time off, holidays, and personal days to maintain a work-life balance.
- Financial Wellness: Plan for the future with competitive pay, a 401(k) retirement plan with company match, and financial planning resources.
- Professional Growth: Advance your career with access to training, development programs, and opportunities to grow within the company.
- Wellness Support: Stay healthy with wellness programs, mental health resources, and fitness perks.
- Family-Friendly Benefits: Take care of your loved ones with parental leave, adoption assistance, and flexible work arrangements.
- Perks and Extras: Enjoy additional benefits like commuter assistance, employee discounts, and company-sponsored events.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Big Data Computer Science Data pipelines DevOps Engineering Java Machine Learning ML models MLOps NoSQL Pipelines Python Scala SDLC Spark Statistics Testing
Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Team events Wellness
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