Senior Software Engineer - Machine Learning Accertify, Inc.
Accertify, Inc.
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: Haryana
Skills: Python, Java, SQL, jdbc, Oracle, PostgreSQL, spark, NoSQL, sdlc, Machine Learning, Statistics, big data, Hdfs, MLOps
About Accertify, Inc.
Job Description
Be in the drivers 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 teams 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,