Engineering Structures Jobs in Indianapolis Remote

Position Summary:

• Aegis Worldwide is partnered with a manufacturer in the Indianapolis, IN area who is seeking a maintenance planner who will be provide maintenance planning and scheduling support while improving maintenance workforce efficiency by reducing the risk of equipment failures through proper coordination of parts and documentation.

Must Haves:

• 3+ years of manufacturing maintenance planning experience

Job Responsibilities:

• Review and evaluate each work request for completeness, discussing details with the requestor when necessary.
• Ensure the requested work is necessary and addressed within an appropriate timeframe.
• Assess the scope of each job and determine the most effective method to complete the work, consulting with the requestor, Maintenance Supervisor, Engineering, or relevant maintenance teams as needed.
• Coordinate weekly meetings with Operations and Maintenance Supervisors to review the maintenance schedule, negotiate equipment downtime windows for maintenance activities, and discuss short-term maintenance needs.
• Review the maintenance schedule and labor availability forecasts each week to prepare for scheduling discussions.
• Ensure all work planning prioritizes and incorporates applicable safety requirements.

A fast‑growing food manufacturer is seeking a Senior Quality Manager / Director to lead the facility's quality and food safety programs. This role oversees quality systems, develops the quality team, and partners with operations to ensure consistent compliance with regulatory, customer, and GFSI standards. The Senior Quality Manager will strengthen processes and drive a culture focused on safety, accuracy, and continuous improvement.

Responsibilities:

- Lead, coach, and develop quality staff; foster a collaborative, accountable culture.

- Own daily execution and improvement of quality systems, including HACCP, FSMA, Food Safety Plans, SPC, and SQF/GFSI programs.

- Ensure compliance with regulatory, certification, and customer requirements; oversee document control.

- Lead internal, external, and regulatory audits, including preparation, on‑site support, and corrective actions.

- Partner with Operations, Sanitation, Maintenance, and R&D to align quality expectations and resolve issues.

- Drive root cause analysis, CAPAs, and continuous improvement initiatives.

- Manage quality metrics, data analysis, and reporting; oversee lab operations, calibrations, and testing accuracy.

Qualifications:

- Bachelor's in Food Science, Microbiology, Engineering, or related field.

- 10+ years of food or beverage manufacturing experience, including 5+ in leadership responsibility. Experience with contract manufacturing, and USDA as well as FDA regulatory compliance is ideal.

- Strong knowledge of GFSI programs; HACCP and PCQI preferred.

- Analytical mindset with experience in statistical tools and quality data systems.

- Excellent communication, leadership, and cross‑functional partnership skills.

If this role aligns with your background and experience, don't wait to apply.

We manufacture and market Splenda, the #1 brand in the low calorie sweetener category and the most recognized in the world. Heartland Food Products Group is a global leader in the consumer packaged goods (CPG) industry, producing low-calorie sweeteners, coffee, coffee creamers and liquid water enhancers.

We make coffee, tea and water taste better and help people live happier, healthier and longer lives by making it easy to reduce sugar.

We offer an excellent compensation and benefits package. Come grow with us!

This role is not a remote opportunity, it is on-site at our Manufacturing Plant in Indianapolis, Indiana. 3rd shift available in our Dry Sweeteners department.

Scope:

The Production Supervisor directly supervises and coordinates the activities of production and operating workers, such as packers, machine operators, and blenders. The Supervisor will be responsible for establishing and achieving production goals, fostering relationships, promoting Health and Safety and the development of a well-trained and motivated staff.

Essential Duties and Key Responsibilities:

• Enforces safety and sanitation regulations per food safety and quality guidelines.
• Responsible for initiating appropriate actions that address Food Safety concerns, including escalation to Quality and Management.
• Utilizes all food safety and food security guidelines, including Safe Quality Foods (SQF) good manufacturing practices and Hazard Analysis Critical Control Points.
• Directs and coordinates the activities of the employees engaged in the production or processing of goods, such as packers, machine operators, and blenders.
• Develops and motivates team to solve own day-to-day operational issues and achieve plant goals through ongoing communication and facilitation of team meetings.
• Coordinates daily inventories and supplies and other operational activities within or between departments.
• Plans and establishes work schedules, assignments, and production sequences to meet production goals.
• Inspects materials, products, or equipment to detect defects or malfunctions.
• Observes work and monitor gauges, dials, or other indicators to ensure that operators conform to production or processing standards.
• Conducts employee training in equipment operations and work and safety procedures or assigns employee training to experienced workers.
• Maintains records of employees’ attendance and hours worked.
• Counsels employees about work-related issues and assists employees to correct job-skill deficiencies.
• Recommends or initiates personnel actions, such as hires, promotions, transfers, discharges, or disciplinary measures of direct reports.
• Interprets specifications, blueprints, job orders, and company policies and procedures for workers.
• Initiates and drives process improvements.
• Reads and analyzes charts, work orders, production schedules, and other records and reports to determine production requirements and evaluates current production estimates and outputs.
• Document all records outlined by company policies, such as production records, HACCP, good manufacturing policies, standard operating procedures, and food safety and quality plans.
• Oversees and completes production documentation, support documentation, and process control documentation throughout the facility.
• All other duties as assigned.

Qualifications

• Bachelor of Science in Engineering required.
• Minimum of 2 years’ experience in manufacturing and supervision.
• Superior analytical and critical thinking skills
• Proficient computer skills, including Microsoft Excel and Word
• Demonstrates essential problem-solving methods and initiative.
• Ability to perform under pressure and to solve problems independently
• Ability to communicate well with all employees and customers

Physical Demands:

• Must be able to physically perform the functions of climbing, balancing, stooping, kneeling, crouching, reaching, standing, walking, pushing, pulling, lifting, grasping, feeling, talking, hearing, and repetitive motions
• Must be able to work seated using a computer and phone for long periods of time.
• Must be able to work extended hours, such as daily overtime and an occasional weekend
• Must possess visual acuity to document company records
• Continuous walking throughout plant and distribution center.
• Lifting up to 50 pounds

Production Manager - Indianapolis, IN

A growing, established manufacturer in the Indianapolis area is seeking an experienced Production Manager to lead daily operations, drive performance, and develop a high-impact team.

This role oversees complex production processes that support a wide range of custom-engineered products used in highly regulated industries. The ideal leader brings a strong floor presence, a passion for continuous improvement, and experience guiding teams through changing customer needs and technical product requirements.

What You’ll Do

• Lead daily production activities to meet customer demand and on-time delivery goals
• Ensure material availability, equipment readiness, and efficient changeovers
• Partner closely with internal technical resources on equipment optimization and troubleshooting
• Develop supervisors and operators through coaching, training, and performance management
• Maintain compliance with ISO and customer standards in a regulated manufacturing environment
• Lead new product and process introductions, including pilot runs and validation activities
• Champion a safety-first culture, ensuring OSHA and plant-level compliance
• Track and analyze KPIs such as scrap, uptime, changeover time, labor efficiency, and delivery performance
• Drive Lean/5S initiatives to eliminate bottlenecks and improve productivity

What You Bring

• 5–10 years of manufacturing leadership experience; 3+ years in a supervisory role
• Experience in custom, high-mix, or regulated manufacturing environments preferred
• Knowledge of scheduling, Lean/5S, and continuous improvement tools
• Strong communication and floor-level leadership skills
• ERP/MRP system experience

DUTIES AND RESPONSIBILITIES:

• Complete production plan by scheduling and assigning personnel, establishing priorities, monitoring progress, revising production schedules as needed, resolving production problems
• Ensure all tooling and coolant is ordered as needed
• Review prints and work with engineering to update as required
• Report results of process flow for shift production
• Maintain workflow by monitoring steps of the process, monitoring personnel and resources, observing control points and equipment, facilitating corrections to malfunctions within process and machinery
• Revise procedures by analyzing operating practices and implementing changes as required
• Ensure all machined parts are manufactured to dimensions and tolerances shown on part drawings with appropriate surface finish quality
• Meet or exceed department productivity goals as set my management
• Maintain quality by establishing and enforcing a quality program
• Ensure proper operation of equipment by calling for repairs, maintenance, evaluating new equipment and programming
• Use information from production performance records to improve production rates through training and coaching of employees
• Maintain consistent department focus on unattended operation of lathes
• Educate employees on use of equipment and resources
• Set expectations for employee’s performance, provide them with tools needed to perform and monitor to ensure compliance
• Maintain safe and clean work environment
• Maintain compliance with established policies and procedures by educating and directing employees on the use of equipment and resources
• Communicate with other employees and departments about work related processes
• Identify employee issues and work toward solutions with the assistance of HR and management
• Update information in Global Shop as necessary
• Perform additional related duties as required

JOB REQUIREMENTS/SKILLS

• Ability to program and design part fixtures as needed
• Manage processes and process improvements
• Plan production including prioritizing jobs and manpower to complete jobs on schedule
• Ability to identify areas of process improvement
• Ability to communicate job expectations, monitor and appraise results
• Ability to effectively coach and counsel employees on performance and behavioral issues

EDUCATION/EXPERIENCE:

• Previous supervisor experience a plus
• Experience programming Haas lathes and mills
• Experience with prioritizing workload and staff assignments

PHYSICAL REQUIREMENTS/WORK ENVIRONMENT:

• Ability to lift 20-50 lbs. occasionally
• Ability to work in non-air conditioned manufacturing environment
• Constant standing
• Frequent bending and stooping
• Clean work environment
• Exposure to noise, dust, and airborne particles
• Safety training and other required PPE provided
• Must submit to pre-employment drug screening and criminal background check

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)

The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.

The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience

Responsibilities

• Handle tickets and calls directly to build deep product knowledge and earn customer trust
• Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
• Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
• Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
• Define and track key operational KPIs and build automations to drive ongoing efficiency
• Champion team autonomy and maintain quality standards throughout a period of significant scale

What We Need to See (Essential)

• 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
• Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
• Proficiency in maintaining & utilizing ticketing CRMs
• Demonstrated ability to thrive in hypergrowth environments and build processes from zero
• Comfort working across time zones (specifically West Coast)
• Genuine alignment with the company's mission in women's and children's health

What We’d Like to See (Bonus)

• Experience in a healthcare or regulated SaaS environment
• Familiarity with building or scaling a support function at a Series A-C stage company
• Experience with CRM automation and reporting

Location: Hybrid

Package: $60-80 per hour

Duration: 4 months

Our client, a fast growing publicly traded manufacturing company is looking for a Senior Accountant to join. This role will have meaningful responsibility across financial reporting, operational accounting, and process optimization within a multi-entity, global environment.

The ideal candidate is detail-oriented, technically strong in U.S. GAAP, and comfortable operating in a matrixed organization with cross-border collaboration.

Core Responsibilities

Financial Close & Reporting

• Manage critical components of the monthly and quarterly close cycle
• Prepare journal entries, account reconciliations, and analytical reviews
• Perform detailed variance and trend analysis to support reporting accuracy
• Ensure results align with U.S. GAAP and corporate reporting policies

Compliance & Audit Coordination

• Support both internal and external audit activities
• Prepare audit documentation, schedules, and regulatory support files
• Maintain compliance with global accounting standards, including U.S. GAAP and applicable local requirements

Cross-Functional Partnership

• Partner with Operations, Engineering, Product, Tax, Legal, and other internal stakeholders to ensure proper accounting treatment of business activities
• Assist in evaluating complex transactions and operational impacts on financial reporting

Process Optimization & Controls

• Identify opportunities to enhance efficiency across end-to-end accounting workflows
• Contribute to initiatives aimed at improving internal controls and accelerating close timelines
• Collaborate with shared services teams, including offshore support functions, to refine processes and strengthen accountability

Special Projects & Systems

• Provide support for ERP enhancements, system upgrades, and finance transformation initiatives
• Assist in financial modeling, business case analysis, and other ad hoc strategic projects
• Contribute to continuous improvement efforts leveraging technology and automation tools

Qualifications & Experience

• Bachelor's degree in Accounting required; CPA or equivalent certification strongly preferred
• 4+ years of progressive accounting experience
• Background in manufacturing and/or publicly traded environments preferred
• Strong knowledge of U.S. GAAP and corporate reporting standards
• Experience supporting audits and working within structured control environments
• Familiarity with procure-to-pay processes
• Proficiency in Excel; experience with Oracle or comparable ERP systems preferred
• Experience working with shared services or offshore accounting teams preferred
• Ability to manage multiple deadlines in a dynamic, global environment
• Strong analytical mindset with attention to detail and ownership mentality
• Willingness to travel up to 10% (domestic and international)

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB

Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington

Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.

Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.

Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.

Responsibilities

• Define and advance the analytics and insights vision for the organization.
• Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
• Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
• Create clear standards for reporting, dashboards and insight delivery across client accounts.
• Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
• Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
• Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
• Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
• Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
• Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.

Requirements

• Significant experience in analytics and insights leadership, including team management.
• Strong expertise in digital advertising measurement and ecommerce performance analysis.
• Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
• Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
• Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
• Working knowledge of statistical or analytical tools such as Python, R or equivalent.
• Ability to design measurement frameworks that connect media investment to broader business outcomes.
• Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
• Experience operating in a fast-paced, evolving environment with multiple stakeholders.
• Bachelor's degree required; an advanced degree is advantageous.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA