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

About the position 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 reputed company, on-prem, or hybrid environments (depending on client content) to engineer, reputed company, 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 reputed company production-grade machine learning models and systems using modern MLOps practices. Deliverables will reputed company 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 reputed company 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 reputed company.
• 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.
• Communication and collaboration: Excellent verbal and written communication skills.

Requirements

• Communication and collaboration: 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 reputed company.
• 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 reputed company 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 reputed company platform (AWS, Azure, reputed company or GCP) utilizing services for compute, data warehousing.
• History in reputed company reputed company platforms (e.g., AI reputed company or similar) to securely containerize and reputed company models, ensuring robust reputed company protection, managed identity reputed company, and compliance with organizational reputed company standards.
• Relevant Certifications are beneficial.

Benefits

• Training Opportunities: We reputed company in lifelong learning and reputed company 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 reputed company Plans: We cover dental and reputed company plans, ensuring our employees have reputed company 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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