Full-Stack Software Engineer, AI/ML

As a Full-Stack Software Engineer in AI/ML at auticon you will be working on our client projects within various domains including entertainment, utilities, healthcare, and finance. In this role, you will play a key role in coding, review and/or automation, as well as supporting quality assurance testing, under the direction of leadership.

Job Duties & Responsibilities include, but are not limited to:

Support documentation efforts by tracking issues, including when they occur, what happened, and how they were resolved

Identify and recommend the best tools or processes for documentation, such as using GitHub issues or alternative tracking method

Work closely with cross-functional teams to effectively communicate and drive investigations into technical issues

Assist in defect management processes, ensuring proper tracking and resolution of software bugs

Conduct research and investigations into data quality issues, helping to determine root causes and follow-up actions

Perform code reviews to aid in issue resolution, though deep programming expertise is not required

Exhibit a naturally curious mindset, proactively seeking to understand why issues occur and how they can be prevented

Collaborate with development, QA, and DevOps teams to enhance documentation and troubleshooting processes

Work on internal auticon projects as assigned when not working on client project

Be open and ready to learn new tools or programs and complete any required trainings and/or certifications

Help interface and facilitate collaboration with the client’s personnel, in collaboration with and alignment with the auticon team

Work alongside your dedicated auticon support person

Learn, understand, and implement existing auticon procedures related to your role

Required Skills & Qualifications:

Minimum 3 years of on-the-job experience in full-stack software development

Comfortable with modern front-end development technologies and techniques such as JavaScript and HTML5/CSS3

Proficient with back-end technologies such as Java, Python and Go (Golang)

Hands on experience with frameworks such as Vue.js, React, Angular

Experience with test planning, test management, and test automation tools

Familiarity with version control systems such as GitHub

Experience with Amazon Web Services (SageMaker, S3, CloudWatch) or equivalent cloud technologies

Understanding of ML models and hands-on experience with libraries like TensorFlow, PyTorch, scikit-learn, and XGBoost

Experience with test automation technologies such as PyTest, Selenium, jUnit, Jira

Knowledge of ETL development tools such as PySpark, Informatica, Talend

Experience with API testing using tools like Apigee, Swagger, REST/SOAP

Familiarity with DevOps/MLOps environments and infrastructure solutions like Docker, Kubernetes

Experience with data cleaning, normalization, feature engineering, dimensionality reduction (e.g., PCA), etc.

Knowledge of code linters and software quality assurance best practices

Desire to learn new skills and open to working across different areas of software and data

Ability to follow directions and work collaboratively within a team

Strong attention to detail and a proactive approach to identifying code improvement

Good organizational skills, with the ability to support multiple projects and meet deadlines

Reporting, documentation, attention to detail, analytical, and problem-solving skills

Flexibility with change in project requirements and project changes

Authorized to work in the United States without sponsorship and currently located within the United States

Nice to have:

Located in or looking to relocate to (no relocation assistance available) and able to work hybrid (up to 4 days a week in office) in one of the following locations: Dallas, TX; Columbus, OH; Albany, NY; Tarrytown, NY; Santa Clara, CA; Chicago, IL.

Degree, preferably in a related field such as computer science, information systems, or demonstrated equivalent work experience