Trusted by many of the largest companies globally, Accertify is the leading digital platform assessing risk across the entire customer journey, from Account Monitoring and Payment Risk to Refund Fraud and Dispute Management. Accertify helps maximize revenues and user experience while minimizing loss and customer friction. We offer ultra-fast decision-making and precise control, ensuring our customers are always confidently in the driver’s seat and ready to #MoveAtTheSpeedOfRight.
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.
Key Responsibilities:
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 multithreaded
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.
Minimum Qualifications:
Bachelor's degree in computer science or equivalent
4+ years of experience of software engineering in an enterprise setting
Experience in an object-oriented language such as Python or Java
Strong Relational database skills in SQL such as JDBC/Oracle or PostgreSQL
Experience in deploying ML models in production and familiarity with MLOps
Experience working as a part of a larger engineering team, documenting code, performing peer code reviews, writing unit tests, and following an SDLC
2+ years of experience in Spark and/or NoSQL databases
Preferred Qualifications:
High volume transactional environment experience
Understanding statistics and Machine Learning concepts such as traditional ML algorithms, Generative ML algorithms, Concept drift and decay, A|B Testing etc.
Big Data components/frameworks such as HDFS, Spark 3.0 etc.
Additional Details:
Candidates based in Delhi NCR, India, would work in a hybrid (3 days in-office per week) capacity from the Accertify office located in Gurgaon, Haryana.
Visa Sponsorship: Employment eligibility to work for Accertify in India is required, as Accertify will not pursue Visa sponsorship for this position
