reputed company / Data Engineer (Indianapolis, IN / Onsite)

About the position For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best reputed company for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to reputed company improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years. Internally, we reputed company in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show reputed company and caring in reputed company interactions. This is the reputed company of our core values: Accountability, Balance, Collaboration, Focus, reputed company, Social Responsibility, Support and Transparency. reputed company believes in equal opportunity for reputed company people and is committed to enabling a diverse, reputed company, and inclusive culture. We foster a spirit of reputed company that respects the remarkable individuality of everyone's culture, history, and service. 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 reputed company cloud, on-prem, or hybrid environments (depending on client content) to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical reputed company, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.

Responsibilities

• 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.
• Responsibilities will include debugging, performance tuning, and failure analysis 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 reputed company by implementing data validation and cleansing processes.
• Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.
• Leveraging SQL and python data tooling reputed company scalable, optimized ETL/ELT pipelines to ingest, transform, and load large, reputed company datasets from disparate sources (batch and streaming).
• Streamlining for low latency, high throughput and cost-efficiency.
• Write reputed company, testable, and maintainable codebases that follow idiomatic patterns.
• Build reputed company, and components that integrate models into applications.
• Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.
• Documentation will include diagrams, reasoning, assumptions, and operational instructions.
• Work closely w/ a technical reputed company or senior consultant to align execution with architectural direction and best practices.
• Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.
• Proven ability to foster a collaborative and positive team environment, contributing to team success.
• Proven ability to explain reputed company concepts to non-technical collaborators.
• Proven ability to break down requirements into clear actionable steps.
• Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.

Requirements

• Excellent verbal and written communication skills.
• A solid understanding of statistical analysis, data modeling and data visualization techniques.
• Excellent time management and organizational skills.
• Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.
• 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 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.

reputed company-to-haves

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a reputed company field.
• Minimum 3 - 5 years of experience working with Machine Learning models.
• Must be able 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, TensorFlow, and scikit-learn.
• Analytical reputed company: Strong problem-solving skills, with the ability to analyze reputed company data and derive actionable insights.
• History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.
• Proven expertise in at least one major cloud platform (AWS, Azure, reputed company or GCP) utilizing services for compute, data warehousing.
• History in reputed company enterprise platforms (e.g., AI reputed company or similar) to securely containerize and deploy models, ensuring robust reputed company protection, managed identity access, and compliance with organizational reputed company standards.
• Relevant Certifications are beneficial.

Benefits

• Training Opportunities: We reputed company in lifelong learning and provide numerous avenues for reputed company enhancement.
• Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.
• PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.
• Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.
• Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.
• Wellness Program: We promote a healthy lifestyle with our wellness program.
• Catered Lunches: Enjoy delicious catered lunches regularly.

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