Qualified Applicants Opportunities Jobs in Chicago, IL

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Looking for Qualified Applicants Opportunities jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Qualified Applicants Opportunities position in the Chicago, IL area.

Senior Business Developer - Energy Incentives

Company: Wipfli

Location: Chicago, IL

Posted Jan 26, 2025

Wipfli is seeking a Senior Business Developer for its Construction and Real Estate team. The ideal candidate will focus on growing professional services sales into target client segments, closing new energy incentive sales opportunities, and identifying and providing leads to industry resources. The role involves managing the sales process, coordinating team selling, forming and guiding the Opportunity Pursuit Team, translating growth marketing plans into sales tactics, and producing management reports. Required qualifications include a bachelor's degree, 5-10 years of experience in the energy or A&E space, experience selling specialty tax services to A&E firms, and a track record of revenue attainment. Wipfli offers competitive compensation, benefits, and flexibility for remote work.

Application Engineer (AbInitio)

Company: Discover

Location: Chicago, IL

Posted Jan 26, 2025

Discover is offering a job opportunity for an Engineer to join the Business Technology Finance Corporate Services Team. The role involves providing technical design and development leadership for applications that build ETL pipelines for transforming, aggregating, and loading financial data into warehouses for downstream reporting. The successful candidate will be involved in developing AbInitio ETL ExtractTransformLead applications, developing and maintaining data-driven solutions, and ensuring proper data governance policies are followed. The role requires excellent communication skills, the ability to understand business vision and translate it into technical artifacts, and oversight on design and implementation of products. The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, Informatics, Information Security, Information Technology, or a related field, and 3+ years of Information Technology Software Engineering or related experience. Knowledge of Amazon Web Services, Data Warehouse technology, and query languages for relational databases is a plus. Discover offers a competitive total compensation package, including benefits such as Paid Parental Leave, Paid Time Off, 401k Plan, Medical Dental Vision and Health Savings Account, STD Life LTD and AD&D, Recognition Program, Education Assistance, Commuter Benefits, Family Support Programs, and Employee Stock Purchase Plan.

70003-Engagement Coor

Company: The TJX Companies, Inc.

Location: Springfield, IL

Posted Jan 27, 2025

Compliance Lead (Hybrid)

Company: Enova

Location: Chicago, IL

Posted Jan 26, 2025

Enova International is seeking a Compliance Lead with at least 5 years of experience in technology compliance or analytics. The role involves enhancing and overseeing internal control frameworks, advising business teams on control design, and leading training initiatives. The ideal candidate should have knowledge of US consumer financial regulations, strong analytical skills, and excellent communication abilities. Enova offers a competitive salary range of $80000 to $110000, along with comprehensive benefits including health, dental, and vision insurance, 401k matching, PTO, paid holidays, sabbatical program, and more. Enova is a values-driven organization committed to making accessible credit for millions and fostering an inclusive culture.

Application Engineer(Splunk/Machine Learning)

Company: Discover

Location: Chicago, IL

Posted Jan 26, 2025

Discover offers a bright future with meaningful work from day one. The company values individuality and encourages growth. The role involves overseeing product design and implementation, analyzing and deploying new features, mentoring junior engineers, and contributing to technology communities. The position requires a Bachelor's degree in a relevant field, 3+ years of experience, and a technical proficiency rating of Competent on the Dreyfus Engineering scale. The base pay ranges from $89,000 to $150,200, with additional incentives. Discover is committed to diversity and inclusion, and offers a range of benefits.

Frequently Asked Questions

What are the typical salary ranges for Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

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