Machine Learning Engineer

Machine Learning Engineer

• Own and develop the ML model monitoring and reporting codebase aligning with the existing MLOps framework

• Collaborate with cross-functional teams to optimize data pipelines through data validation, data profiling, data versioning and model monitoring

• 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

• 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:

• Bachelors degree in computer science or equivalent

• 4+ years of experience of software engineering in an enterprise setting

• Experience in Python and Spark (PySpark)

• 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 ML/ 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: $125-140K. 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:

• 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!