AI Engineer​/Data Engineer; Indianapolis, IN​/Onsite

Description

We are seeking an AI/ML/Data engineer with several years of technical experience building production-grade solutions. This role blends AI/ML engineering, data engineering, and software engineering to support clients across a variety of industries. You will deliver within cloud, on‑prem, or hybrid environments to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical lead, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.

• Design, implement and deploy production‑grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.
• Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.
• Implement model inference services, deployment workflows, and monitoring mechanisms.
• Projects may range from data ingestion and transformation to model serving and application integration.
• Debug, performance tune, and analyze failures across data and model layers.
• Collaborate with domain experts to translate analytical requirements into highly performant ML services and reusable solution patterns.
• Implement model governance and reproducibility standards, ensuring models are versioned.

• Build ingestion, transformation, and storage pipelines for analytical and ML workflows.
• Ensure data quality and integrity by implementing data validation and cleansing processes.
• Evaluate trade‑offs among tools, architectures, and modeling approaches.
• Leverage SQL and Python data tooling to develop scalable, optimized ETL/ELT pipelines for large, complex datasets from disparate sources, streamlining for low latency, high throughput, and cost-efficiency.

• Write modular, testable, and maintainable codebases that follow idiomatic patterns.
• Build APIs, services, and components that integrate models into applications.
• Use containers, CI/CD, and automated testing to ensure reliability.
• Document with diagrams, reasoning, assumptions, and operational instructions.

• Work closely with a technical lead or senior consultant to align execution with architectural direction and best practices.
• Collaborate effectively with cross‑functional teams to understand business requirements and translate them into technical solutions.
• Foster a collaborative and positive team environment, contributing to team success.
• Explain complex concepts to non‑technical collaborators and break down requirements into clear actionable steps.
• Ensure smooth implementation, delivery, and deployment of AI/ML and other relevant data solutions.
• Maintain excellent verbal and written communication skills.

• Excellent verbal and written communication skills.
• Solid understanding of statistical analysis, data modeling, and data visualization techniques.
• Excellent time management and organizational skills.
• Advanced proficiency in SQL with performance tuning and optimization of queries.
• Strong understanding of ETL/ELT fundamentals and orchestration tools.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Proficiency in Python and SQL with a strong grounding in data structures and software fundamentals.
• Strong understanding of software engineering practices including version control, testing, module design, and code clarity.
• Expertise in ML, MLOps, and applied AI in production environments.

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.
• Minimum 3‑5 years of experience working with Machine Learning models.
• Ability to operate effectively in secure, high‑compliance, or limited‑tooling environments (e.g., no code assistants, on‑prem pipelines, locked‑down VMs).
• Demonstrated ability to adapt quickly to new technology stacks and client‑specific coding standards.
• Working knowledge of ML frameworks and libraries such as PyTorch, Tensor Flow, and scikit‑learn.
• Strong analytical mindset with problem‑solving skills for complex data and…