Engineering Jobs in River Rouge Wayne County Mi Remote

Sales Account Executive- Manufacturing

Company Description

IMAGINiT Technologies, a division of Rand Worldwide, advances the way companies use technology to design, develop, and manage complex engineering projects. As the market leader in North America, we continue to enjoy a great deal of success even in these unprecedented times. Our culture is supportive, dynamic, collaborative, and driven to meet the ever-changing needs of our customers and our employees. If you are looking to make a real difference, we would love to hear from you.

Job Description

We are looking for a Sales Account Executive who is passionate, self-motivated, and business savvy, with a strong desire to overachieve their professional and financial goals to join our team. This is an exciting opportunity to utilize your solution selling skills, to drive business within named accounts in the Manufacturing sector. In this role you will have the opportunity to collaborate with our best in class, presales, customer success, and professional services teams, to ensure that your customers view you as a trusted advisor who can deliver solutions well past software alone.

Responsibilities

• Manage full sales cycle from researching accounts to closing business.
• Discovering, developing, and managing business relationships with prospects and current customers to sell software, services, and other related solutions.
• Selling wide and deep into accounts by identifying client needs and opportunities where IMAGINiT products and services will improve client growth and productivity.
• Leading account strategy sessions with current clients, prospects, and internal teams.
• Developing and delivering presentations and proposals.
• Increasing IMAGINiT visibility in the industry by attending networking events, using social media, referrals, etc.
• Collaborating across IMAGINiT business units working with other channel partners to secure customer business.

Qualifications

• 5+ years of direct sales experience selling software solutions to mid-size and large enterprises.
• Measurable track record in new business development and overachieving sales team targets.
• Proven hunter mentality with a track record of sales success.
• Strong business acumen, and ability to have business conversations at all levels.
• Excellent problem solving, negotiation, and closing skills.
• Ability to manage the entire sales process from prospecting through close.
• Strong verbal and written communication skills and CRM usage.
• Experience with multi-product/services selling is a plus.
• Experience selling within the Manufacturing sector is a plus.
• Bachelor’s degree or equivalent is a plus.

Additional Information

What can you expect?

• Comprehensive onboarding program and on-going training that prepares you for success.
• Approachable leadership team who truly cares about you and your customers.
• Opportunities for growth and development with opportunities to move up or horizontally within the organization.
• You will be surrounded by armies of people that you can leverage from a strong technical team including pre-and-post sales engineers, marketing, and a technical support team second to none.

Hybrid/Remote Work

• Ability to maintain appropriate productivity and performance.
• Have a work environment that is free from distractions and has a reliable internet connection.
• Ability to dedicate their full attention to their job duties and be available via Teams and/or phone during work hours.
• Required to attend all mandatory meetings and/or events and be responsive to any communication from colleagues, customers, and management.

Travel

• 20-25% annually

Total Compensation

• Salary $75,000-$85,000
• OTE Range $180,000 Plus

Benefits

• Health, Dental, and Vision
• Health Savings Account with Employer Matching Contribution
• Limited Purpose FSA Account
• Medical Flexible Spending Account
• Dependent Care Assistance Plan
• Short & Long-Term Disability
• Wellness Programs
• Employee Assistance Program
• Group Term Life Insurance
• Voluntary Life Insurance
• Paid Holidays
• Vacation and Sick Leave
• 401(k) with company match
• Tuition Reimbursement
• Service Awards
• Employee Referral Bonus Program

Visit us at for more information.

We celebrate employment equity and diversity! We encourage applications from all qualified individuals and do not discriminate based on disability, race, ethnicity, religion, gender, sexual orientation, age, veteran status, or any other basis protected under federal, state, provincial or local laws.

We are committed to providing reasonable accommodations for persons with disabilities. If you require reasonable accommodation during the application process, we will work with you to meet your needs.

We thank all applicants in advance for their interest, but only those applicants who are to be considered will be contacted. Must be authorized to work in the U.S. for any employer without company sponsorship.

Who we are:

Delta, founded in 1971, is a global provider of power and thermal management solutions. Its mission statement, "To provide innovative, clean and energy-efficient solutions for a better tomorrow," focuses on addressing key environmental issues such as global climate change. As an energy-saving solutions provider with core competencies in power electronics and automation, Delta's business categories include Power Electronics, Mobility, Automation, and Infrastructure.

About the role:

The Account Manager is responsible for managing the assigned key OEM / ODM customers, including meeting or exceeding budgets and growth targets. Drive teamwork and support across Customer Service in Raleigh, Business Units in Taiwan and the factories located in Asia, to achieve the sales goals and objectives. Foster a culture of teamwork and information sharing.

Two open Account Manager positions –

• One located in the Northeast, preferably in the Baltimore/Philadelphia region.
• One located in the Midwest, preferably in the Detroit/Chicago region.

Key responsibilities:

• Develop strong knowledge of market, accounts, competition and industry trends and utilize that in support of the Regional and Account business plans.
• Develop and maintain a Key Account Strategy to drive growth and achieve or exceed annual goals, metrics and expectations.
• Customer relationship growth and management.
• Responsible for new business development - RFQs, pricing negotiation, value proposition, and contract negotiation.
• Provide internal account leadership thru insight to customer inputs and priorities, customer product/portfolio roadmaps, execution of customer process requirements, and contract compliance.
• Drive NPI and project execution and schedule with internal and external customers.
• Monitor, analyze, and drive sales metrics and results.
• Drive funnel growth and forecast accuracy across all product lines and accounts.
• Ensure customer issues are resolved through the escalation process.
• Cradle to grave Sales Management – opportunity to EOL closure.

Key Competencies/Behaviors/Strengths

• Professional Selling Skills - Both large account management and new account development.
• Develop and grow customer relationships.
• Highly motivated self-starter with exceptional communication and negotiation skills.
• Proficient with MS Excel & PowerPoint.
• Results oriented.
• Strong organizational and time management skills.
• Ability to adapt to Delta’s unique and dynamic culture.

Minium Qualifications:

• Bachelor’s degree in electrical engineering or technical field, or commensurate technical sales experience.
• Understanding of power management and/or thermal solutions.
• Experience leading and managing cross-functional teams.
• Excellent project planning, execution, and tracking skills.
• Strong communication, interpersonal, and presentation skills.
• Ability to work effectively in a fast-paced and dynamic environment.

we are seeking for a dynamic and experienced SALES REPRESENTATIVE to join our team.

The ideal candidate will be responsible for managing key client accounts, driving sales, and fostering strong relationships with clients.

Key Responsibilities

- Conduct technology sales to prospective clients

- Negotiate contracts and agreements with customers

- Analyse market trends and customer needs to develop tailored solutions

- Manage sales pipeline and meet or exceed sales targets

- Develop and maintain strong client relationships

- Drive business development initiatives and identify new opportunities

- Engage in B2B sales activities

Essential Business Responsibilities

- Business develop in NA market, such as market investigation, new project quotation, product profile updates, sample management, etc.

- Product scope: Automotive Interior decoration parts, such as Instrument panel, Console, Door Trim Panel, Headliner, etc.

- Customer relationship management

- Supporting China team in engineer, quality, and commercial, etc.

Who we’re looking for

- 5+ years of sales experience in interior or exterior industry with an understanding of customers, competitors, market conditions and development trends.

- Bachelor’s degree in business, engineering or manufacturing.

- Familiar with automotive product manufacturing processes and systems, such as injection, welding, wrapping and assembling.

- Familiar with OEM procedure, such as GM, Ford and Stellantis.

- Ability to travel.

-Background in OEM or T1 will be favorably looked upon.

-English can be used as the working language

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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