Machine Learning / AI Engineer

Job Summary
Our client is seeking a Machine Learning / AI Engineer to design, build, and operate production-grade ML systems that drive real business impact with our client. In this role, you will own the full model lifecycle-from problem framing and data engineering through training, deployment, and ongoing monitoring-while collaborating closely with product, data engineering, and software teams.


You will be expected to communicate complex trade-offs clearly to both technical and non-technical stakeholders and champion responsible AI practices across the organization.



Core Responsibilities

• Partner with stakeholders to frame business problems as ML/AI use cases, define success metrics, and identify required data
• Build and iterate on models using classification, regression, ranking, clustering, anomaly detection, and NLP approaches
• Perform feature engineering, dataset creation, labeling strategies, and model evaluation with scientific rigor
• Implement model interpretability, bias assessment, and responsible AI techniques where applicable
• Build production-grade ML services and pipelines (batch + real-time), ensuring performance, reliability, and maintainability
• Deploy models to cloud environments using CI/CD and infrastructure-as-code best practices
• Implement monitoring for data drift, model drift, latency, throughput, cost, and model quality
• Maintain versioning for datasets, features, models, and experiments to ensure repeatability and governance
• Collaborate with data engineering to create robust data pipelines and ensure data quality
• Integrate ML models into applications through APIs, event streams, or workflow orchestration
• Document architecture, operational runbooks, and model cards; participate in design reviews and knowledge sharing

Required Skills/Experience (Must-Haves)

• 4+ years building and integrating APIs (FastAPI / Flask) and 3rd-party API integrations
• 3+ years (Mid) / 5+ years (Senior) shipping ML systems into production-not just notebooks
• Strong Python skills and hands-on experience with ML libraries: scikit-learn, PyTorch, TensorFlow, XGBoost
• Data processing and analytics with Pandas, NumPy, SQL, and Spark
• Solid ML fundamentals: bias/variance trade-offs, evaluation metrics, cross-validation, feature engineering, error analysis
• Containerization with Docker and CI/CD pipeline management
• Version control with Git / GitHub / GitLab
• Strong SQL skills (SQL Server or Oracle)
• Scripting in Python, Bash, and/or PowerShell
• Ability to communicate trade-offs and results clearly to both technical and non-technical stakeholders
• Experience documenting architecture, model cards, and operational runbooks
• Cross-functional collaboration in Agile / DevOps environments

Preferred Skills/Experience (Nice-to-Haves)

• Experience with workflow automation tools and orchestration platforms
• Background in highly regulated or financial services environments
• Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
• Knowledge of Disaster Recovery / Business Continuity Planning processes

Key Competencies & Behaviors

• Ownership and Accountability
• Collaborative Communication
• Scientific and Responsible Decision-Making

Work Environment

• Location: Atlanta, GA
• Collaborative, cross-functional environment spanning data engineering, software, and product teams
• Fast-paced financial services setting with emphasis on ML governance and responsible AI

Compensation & Benefits

• Pay Range: The approximate pay range for this position is between $65.00 and $75.00 . Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

About KellyMitchell
At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.



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