AI - Data Science Developer

About Northcross Group

Northcross Group (NCG) is a professional services firm specializing in merger and acquisition integrations, system modernization, and compliance programs for clients in the private and public sectors. We provide industry‑specific business solutions and understand the importance of providing the same level of care to the people who will use it and the underlying data. These fundamentals—technology, data, and people—are all a part of the equation for success.

We work with clients in the banking/finance, healthcare, transportation, manufacturing, technology, and federal markets. NCG develops tooling and automated platforms to support its professional services practices and is in the process of deploying a SaaS platform that will make some of its tooling available to broader markets. We have an internal development team that develops, maintains, and continuously improves our automation.

NCG operates a SaaS platform for client and internal service delivery work. NCG has been developing AI tools focused on internal operations and is expanding those capabilities for client service support.

• 401(k)
• 401(k) matching
• Competitive salary
• Dental insurance
• Employee discounts
• Free food & snacks
• Health insurance
• Opportunity for advancement
• Paid time off
• Vision insurance
• Wellness resources

Northcross Group is seeking passionate, experienced AI and Data Science Developers to join our development team to build and integrate AI tools into our existing SaaS platform. This is an exciting opportunity to join our efforts in creating business‑centric tools to support internal service delivery, workforce skill development, and service delivery augmentation. The position will be based out of NCG’s Portland, Maine or Marquette, Michigan offices;

qualified remote candidates across the United States will also be considered.

• Work with business case owners and other developers to define, build, test, and deploy AI‑based tooling for integration with NCG’s SaaS platform.
• Apply a methodological and creative approach to complex problem‑solving.
• Monitor and evaluate model performance and feedback channels to drive fine‑tuning and retraining.
• Evaluate business objectives to target the best set of tooling approaches, model type utilization, and ongoing maintenance and currency.
• Participate in all phases of the development lifecycle from initial specification through developing, testing, and launching.
• Collaborate with the creative team to match visual design intent.
• Engage with internal and external clients to ensure successful audience adoption.
• Communicate cleanly with non‑technical stakeholders to explain technical concepts.
• Commit to staying updated with the latest advancements in AI and machine learning.
• Collaborate across multidisciplinary teams, including developers, data scientists, and business analysts.

Technical

• Proficiency in Python, R, Java, or equivalent.
• Familiarity with frameworks like Tensor Flow, PyTorch, and Keras.
• Strong understanding of linear algebra, calculus, probability, and statistics.
• Experience with supervised, unsupervised, and reinforcement learning.
• Knowledge of neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks.
• Experience with structured and vector databases.

Domain Knowledge

• Experience working within regulated industries such as banking, finance, or cybersecurity, with an understanding of compliance and operational constraints on technical solutions.
• Exposure to ETL pipeline design and data integration patterns in enterprise or financial services contexts.
• Ability to translate business requirements from compliance, risk, or operations teams into data and model specifications.
• Understanding of data governance, audit trails, and model explainability as they relate to regulated use cases.
• Experience working alongside business analysts, compliance officers, or subject matter experts to validate AI outputs against real‑world business rules.

Experience

• 2+ years of development experience or business equivalent.
• Hands‑on experience with AI projects, either through work, internships, or personal projects.
• Industry‑specific experience in technology, cybersecurity, finance, or healthcare.

Please apply through the university portal or send a resume and cover letter to

Qualified applicants must undergo a successful background check. NCG is an equal opportunity employer.