Senior Machine Learning Engineer

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