What are the responsibilities and job description for the Senior Machine Learning Engineer position at Certify?

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.

Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.

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 design 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.

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 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.

Minimum Qualifications :

Bachelor's degree in computer science or equivalent.

4 years of experience in 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 :

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 the Accertify HQ in Itasca, IL.

Visa Sponsorship : employment eligibility to work for Accertify in the U.S. is required, as Accertify will not pursue Visa sponsorship for this position.

What We Offer :

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.

At Accertify, we’re committed to supporting your success at work and in life!

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Salary : $125,000 - $190,000

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