Engineering Jobs in Indianapolis In Remote

Title: HR Coordinator

Location: Indianapolis, IN

Overview:

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Hire Type: Direct Hire

Benefits: Medical, Dental, Vision, 401k

Pay: $21-25/hr

Preferred Qualifications: Prior experience working in a manufacturing environment

Job Summary:

• The HR Coordinator plays a key role in supporting daily human resources operations at a manufacturing facility in Indianapolis. Primary responsibilities include payroll assistance, employment eligibility verification (I-9), and coordinating new employee onboarding and orientation. This position is well suited for a bilingual (English/Spanish) HR professional with 1–3 years of experience who enjoys hands-on employee interaction and maintaining efficient, compliant HR processes in a fast-paced manufacturing environment.

Job Duties:

• Payroll Administration: Support accurate and timely payroll processing by reviewing time records, identifying and resolving discrepancies, and preparing required payroll documentation.
• Employment Compliance: Manage Form I-9 completion and verification, maintain compliance files, and support E-Verify processes when applicable.
• Onboarding & Orientation: Facilitate new-hire orientations, assemble onboarding packets, and ensure all required employment documentation is completed and submitted.
• HR Recordkeeping: Maintain employee files and data within HRIS and payroll systems; assist with reporting and document management.
• Employee Assistance: Act as an initial point of contact for HR-related inquiries, providing support in both English and Spanish.
• Interdepartmental Collaboration: Work closely with HR, Safety, and Operations teams to support employee needs and HR initiatives.
• General HR Support: Assist with benefits enrollment guidance and contribute to additional HR projects as assigned.

Qualifications:

• 1–3 years of experience in HR coordination, payroll support, onboarding, or a related administrative function.
• Full bilingual fluency in English and Spanish (verbal and written).
• Prior experience in a manufacturing or industrial setting.
• Working knowledge of payroll processes and employment eligibility documentation (Form I-9).
• Strong organizational skills with high attention to detail and discretion when handling confidential information.
• Proficiency in Microsoft Office and the ability to quickly learn HRIS and payroll platforms.

About Us

Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $7.6 billion in revenue for 2024, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for industrial, commercial, institutional, and residential related building projects.

The Role We Want You For

The construction Project Engineer will be based on the construction project site and will service our clients in a multi-state region and may even travel across the country, and assist through closeout within the Life Sciences/Biotech/Pharmaceuticals sector. You will have the opportunity to build large, complicated, iconic design-build projects $30 million and above. In this role you will be part of a team responsible for taking projects from conceptual stages through closeout.

The Specifics of the Role

• Build client and subcontractor relationships.
• Team with Architects, Engineers, and Planners to create and manage a design schedule.
• Assist in the establishment of project forecasts and budgets.
• Manage costs.
• Accept responsibility for project execution.
• Mentor and develop Interns and new incoming project management staff.

Requirements

• Bachelor’s Degree in Construction Management, Engineering, Architecture or related.
• 0 to 5 years of experience managing construction projects, ideally design-build.
• Demonstrated knowledge of construction principles, practices, and technology.
• Previous experience on a successful project management team.
• Ability to walk a job site, climb ladders, and scale multi-floor scaffolding.
• Ability to lift objects of at least 50 lbs.

Some Things You Should Know

• This position will service our clients regionally.
• No other builder can offer the collaborative design-build approach that Clayco does.
• We work on creative, complex, award-winning, high-profile jobs.
• The pace is fast!
• This position is classified as a safety-sensitive role in accordance with applicable state and federal laws. Candidates selected for this position will be subject to a comprehensive background check, which includes mandatory drug testing.

Why Clayco?

• 2024 Best Places to Work – Crain’s Chicago Business, St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal.
• 2024 ENR Midwest – Midwest Contractor (#1).
• 2024 ENR Top 100 Design-Build Firms – Design-Build Contractor (Top 5).
• 2024 ENR Top 100 Green Contractors – Green Contractor (Top 5).

Benefits

• Discretionary Annual Bonus: Subject to company and individual performance.
• Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more!

Compensation

• The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.

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• Shift assignments - nights, weekends, and holidays (when applicable)
  
• Duration: 4-6 hours
  
• On-call shift assignments: 1-2 per month (typical)
  

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• Team is seeking a?Senior Application Support Engineer (SRE)?to join our dynamic team of consultants. In this role, you'll lead efforts to ensure the reliability, availability, and performance of mission-critical applications and platforms.
  

• 
  
• Be part of a global production operations team responsible supporting external facing web applications.
  
• Manage incidents, perform root cause analysis, and implement preventative solutions.
  
• Collaborate with development, infrastructure, and platform engineering teams to improve system reliability.
  
• Work within a global team to enable 24x7 support model for internal triage, communication, and root cause analysis.
  

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• Provide 24/7 support as part of a team for production web applications running on AWS or Mulesoft APIs.
  
• Monitor and troubleshoot issues using observability tools like Splunk.
  
• Investigate and expand functionality in Splunk to enable Splunk AI solutions.
  
• Create dashboards and capture metrics to improve visibility and performance.
  
• Respond proactively to system alerts and customer complaints.
  
• Identify where issues are manifesting from source systems or processes and provide recommendations for deflecting incidents
  
• Apply industry best practices to support processes.
  
• Participate in a planned on-call rotation.
  

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• 2-5 years of experience in Tier 2 or Tier 3 IT support roles (e.g., systems analysis, development, data/reporting).
  
• Strong ability to analyze logs and code to resolve Tier 2 issues.
  
• Experience in application-focused support engineering or SRE roles.
  
• Excellent written and verbal communication skills.
  
• Proficiency with observability tools (OpenTelemetry, Splunk, AppDynamics, Datadog).
  
• Hands-on experience with AWS and/or Kubernetes.
  
• Background in DevOps and scripting (Python preferred).
  
• Familiarity with ITIL practices, incident management, and documentation.
  
• Experience with disaster recovery, business continuity, and ServiceNow dashboards.
  
• Comfortable working in Linux environments and shell scripting.
  

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• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  
• Consulting experience and Agile methodology background.
  
• Proven ability to lead small to medium-sized teams.
  
• Certifications: ITIL Foundation, AWS, Azure, or GCP.
  
• Experience with Mulesoft, Postman, and API testing support.
  
• Understanding of networking concepts in cloud-native environments (AWS/Kubernetes/OpenShift).
  

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• A proactive, "Can Do" attitude.
  
• Self-driven and autonomous work style.
  
• Strong communication across internal and external teams.
  
• Passion for operational excellence and continuous improvement.
  
• Commitment to compliance and industry best practices.
  

• Leading the Naval network warfare missions in developing tactics and procedures to realize tactical, strategic and business advantages afloat and ashore
• Driving interoperability with joint, allied and coalition partners
• Building professional excellence through education, training and certification and milestone qualifications
• Optimizing organizational effectiveness through cutting-edge technologies, knowledge management techniques and a culture of innovation
• Helping to develop and deploy information systems, command and control and space systems
• Serving as a key part of the Information Dominance Corps in its mission to gain a deep understanding of the inner workings of adversaries
• Overseeing the work of Information Systems Technicians - Enlisted Sailors (no degree required) who serve as specialists in information technology

• Serving as part of Battle Group staffs on ships at sea
• Working in C4I/Space/Surveillance on shore tours
• Serving on major Navy and joint staffs
• Serving in command of key communication and surveillance facilities around the globe

• Pursuing opportunities at institutions such as Naval Postgraduate School (NPS) or Navy War College (NWC)
• Completing Joint Professional Military Education (JPME) at one of the various service colleges

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

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

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

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