Accertify, Inc.-posted 3 months ago
$125,000 - $180,000/Yr
Full-time • Senior
501-1,000 employees

Be in the driver’s 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 what’s possible in a high-performance production setting. In this role, you will tackle complex challenges, delivering transformative machine-learning projects that set new standards of excellence and make a lasting impact.

  • 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-threaded
  • Collaborate with cross-functional teams to troubleshoot and optimize data pipelines
  • Demonstrate subject matter expertise and ownership for your team’s services
  • Present results to stakeholders and executives as needed
  • Collaborate with the Data Science, Big Data, and DevOps teams
  • Elevate team performance through mentoring, training, code reviews, and unit testing
  • Take ownership of initiatives, propose solutions, and be accountable for projects from inception to completion.
  • Bachelor's degree in computer science or equivalent
  • 4+ years of experience in software engineering in an enterprise setting
  • Knowledge of multiple programming languages, ideally including Python and Java
  • Strong big data processing skills using both relational and NoSQL databases
  • Experience working as a part of a larger engineering team, documenting code, performing peer code reviews, writing unit tests, and following an SDLC
  • High-volume transactional environment experience
  • Experience deploying ML models in production and familiarity with MLOps
  • 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
  • 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.
  • Perks and Extras: Enjoy additional benefits like commuter assistance, employee discounts, and company-sponsored events.
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