Machine Learning Engineer Jr.

Company Description

Ent Credit Union exists to improve the financial quality of life of the people we serve. This mission drives us every day, but we are more than our mission. We're also individuals using our unique abilities to make our organization, and the communities we serve, better than they were yesterday. We're a not-for-profit that puts people above profits and actively invests in our community. Our rapidly growing team is expanding our reach to serve more people throughout Colorado. To spread our mission far and wide, we need people like you. If you're interested in a paycheck with a purpose, apply with us today. Our people make the difference, and we truly believe you are our greatest asset.

Job Description

Ent is seeking an enthusiastic and motivated Entry-Level Machine Learning Engineer to join our dynamic team and support our rapidly growing business. This is a fantastic opportunity for someone who is eager to learn and grow in the field of machine learning while contributing to impactful projects. Do you have a strong foundation in machine learning concepts and a desire to apply them to real-world business challenges? Are you passionate about developing and implementing ML models to generate actionable insights? In this role, you will collaborate with cross-functional teams to understand business objectives and leverage data science methodologies to develop scalable ML solutions. As an entry-level ML engineer, you will work on analyzing diverse datasets, building and monitoring predictive models, and creating visualizations to communicate findings effectively. You'll have the chance to learn from a diverse team across various sectors of the company, exploring the industry and contributing to innovative data-driven solutions. We are looking for a team player who is eager to learn, adaptable, and passionate about leveraging data to drive business growth. If you are excited about the prospect of applying machine learning techniques to solve real-world problems, we encourage you to apply and join our team. Ent is dedicated to create a positive, supportive, and diverse culture. We look for people who are curious, inventive, and work to be a little better every single day. In our work together, we aim to be smart, humble, hardworking, and above all, collaborative.

Essential Functions

• Perform data preprocessing, feature engineering, and data cleansing to prepare datasets for analysis and model construction.
• Collaborate on the development and implementation of machine learning models and analyses to deliver member/business value.
• Assists in building and prototyping dashboards to monitor model performance.
• Explore, identify and document necessary data for projects and understand their underlying structures.
• Assist in monitoring, updating, and testing Machine Learning pipelines.
• Bank Secrecy Act: Remains cognizant of and adheres to Ent policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Qualifications

Minimum Formal Qualifications for this Position

• Bachelor's Degree with an emphasis on coursework of a quantitative nature i.e. Data Science, Machine Learning, Statistics, Information Systems, or a related area.
• 3+ years' experience in analytics, business intelligence, data engineering, or data science using modern analytics and data management technology.

Each year of relevant work experience may be exchanged for a year in a relevant degree program or vice versa. For example, a requirement of a bachelor's degree in accounting and 2+ years of account experience could be substituted for a high school diploma and 6 years of relevant accounting work experience or a master's degree in accounting and 0 years of work experience.


Technical or Specialized Knowledge/Skills:

• Demonstrated experience in applied machine learning, utilizing common libraries like scikit learn, PyTorch, or TensorFlow to develop and assess complex models
• Proficient in Python & SQL for handling and manipulating large datasets
• Experience with business intelligence and data visualization tools, preferably Tableau
• Ability to effectively manage competing priorities in an ambiguous environment
• Familiarity with cloud-based data platforms such as Databricks, Azure, AWS, etc.
• Verbal and written communication skills, capable of conveying rigorous mathematical concepts to non-experts effectively
• Ability to critically think, troubleshoot, and demonstrate proactive problem-solving skills
• Organizational skills and attention to detail

Certifications Required:

• None

Environmental, Physical and Psychological Requirements

• Standing - Occasionally
• Walking - Occasionally
• Sitting - Frequently
• Lifting - Rarely (40 Lbs)
• Carrying - Rarely
• Pushing - Rarely
• Pulling - Rarely
• Balancing - Rarely
• Stooping - Rarely
• Kneeling - Rarely
• Crouching - Rarely
• Crawling - Rarely
• Reaching - Occasionally
• Handling - Occasionally
• Grasping - Occasionally
• Feeling - Occasionally
• Talking - Frequently
• Hearing - Frequently
• Repetitive Motions - Frequently
• Eye/Hand/Foot Coordination - Occasionally
• Noises louder than normal speaking volume - Occasionally
• Temperature Changes - Rarely
• Atmospheric Conditions - Rarely

Additional Information

The pay range for this position is: $82,909 to $108,806 per Year (I15)

Final compensation for this position will be determined by various factors such as relevant work experience, specific skills and competencies, education, certifications, and internal pay equity.

This position is eligible for our corporate bonus program based on company performance.

We anticipate this position to close on 4/5/2024. Please submit your application at your earliest convenience to be considered.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

Benefits Summary Sheet - 2024

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)