Engineering Jobs in Winter Park Remote

Role: Integration and Test Engineer

Location: Clearwater FL/Orlando, FL 32825 - Onsite

Duration: 9-12 Months contract (Possible extension)

Pay Rate: $60-80.00/hr W2

Shift hour: 4/10-1st shift/2nd Shift. Onsite

Plans, implements, tests, documents, and maintains solutions for the integration and testing of subsystems and/or systems.

Synthesizes customer contractual needs and requirements into system test solutions that acknowledge technical, schedule and cost constraints.

Establishes functional and technical specifications and standards, solves hardware/software interface problems, defines input/output parameters, and ensures integration of the entire system or subsystem.

Reviews, evaluates and derives requirements for testability, develops test programs and procedures for complete systems and/or subsystems.

Coordinates subsystem and/or system testing activities with programs and other organizations.

Performs analysis of test results and prepares comprehensive subsystem and/or system level evaluation reports which verify and validate system performance.

Writes discrepancy reports and performs integration regression testing to verify/validate incorporated fixes to software, components, subsystems and systems.

Must have minimum 4-6 years in similar role

Responsible for developing test programs to run on the Lockheed Martin LM-STAR, LM-CORE, and eCASS systems.

Variety in work assignments is what you can expect from this position as we support RF, analog, digital, Electronic Warfare, Electro-Optics, and a variety of communication technologies.

Team members work collectively as well as individually to develop software and hardware designs to support customer missions.

Daily work involves leading a team of Test Program Set (TPS) developers and collaborating with Hardware, Software, and Systems Engineering to coordinate efforts required to produce a tailored work product for our customers.

The successful candidate will have project and technical leadership experience, proven hardware/software integration skills, a working knowledge of standard electronics lab equipment, and good communication skills.

Candidates must be able to lead development of test programs written in either PAWS ATLAS or NI TestStand and LabWindows CVI.

Job title: Director Network Operations Market Lead

Salary: $140k-$160k Bonus 19%

In Market, Orlando, FL (no relocation offered)

Duration: Full time/Permanent

Job Description

• Overall Purpose: Directs all outside plant engineering, planning, design, and construction activities in a geographical area. This is a supervisory role with responsibility for directing; planning; apportioning the market's build responsibilities, including the work of employees including interviewing, selecting, and training; establishing and monitoring attainment of objectives; coaching and assessing performance; and ensuring compliance with company and regulatory policy.

Key Roles and Responsibilities:

Approves or recommends approval of long and short- range planning, specific and routine authorizations, including plans and specifications. Responsible for scheduling of work offers and the managing of the Outside Plant (OSP) budget. Responsible for contract negotiations for the performance of outside plant construction engineering and installation/repair of a specific area. Responsible for the operational effectiveness of provisioning OSP facilities relative to customer service activation and assurance. Directs and controls capital budget for outside plant for specific market area. Oversees the installation and maintenance of high-speed broadband service in assigned geography through general contractor partner. The job has direct and indirect supervisory responsibility for employees below Director level. Leader will directly manage the work performed by employees, contractors, vendors and or partners.

• Education: Typically, a bachelor's degree in Math, Science or Engineering preferred or relevant industry experience.
• Experience: Typically requires 10 or more years of experience and at least two years of management responsibility.
• Supervisory: Yes.
• Environmental Requirements: This position may be responsible for contributing to compliance by customer's with environmental laws and regulations applicable to its job function.

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work

Our client is seeking an experienced Director of Network Operations – Market Lead for a very exciting Direct Hire opportunity with a fast growing company in the telecommunications (Fiber/OSP) industry. This is a hybrid role and requires this person to sit in Orlando or be willing to relocate at their own expense.

Overall Purpose:

• Directs all outside plant engineering, planning, design, and construction activities in a geographical area.
• This is a supervisory role with responsibility for directing; planning; apportioning the market's build responsibilities, including the work of employees including interviewing, selecting, and training; establishing and monitoring attainment of objectives; coaching and assessing performance; and ensuring compliance with company and regulatory policy.

Key Roles and Responsibilities:

• Approves or recommends approval of long and short- range planning, specific and routine authorizations, including plans and specifications.
• Responsible for scheduling of work offers and the managing of the Outside Plant (OSP) budget. Responsible for contract negotiations for the performance of outside plant construction engineering and installation/repair of a specific area.
• Responsible for the operational effectiveness of provisioning OSP facilities relative to customer service activation and assurance.
• Directs and controls capital budget for outside plant for specific market area.
• Oversee the installation and maintenance of high-speed broadband service in assigned geography through general contractor partner.
• The job has direct and indirect supervisory responsibility for employees below Director level.
• Leader will directly manage the work performed by employees, contractors, vendors and or partners.

Education:

Typically, a bachelor's degree in Math, Science or Engineering preferred or relevant industry experience.

Experience:

Typically requires 10 or more years of experience and at least two years of management responsibility.

Supervisory:

Yes.

Environmental Requirements:

This position may be responsible for contributing to compliance with environmental laws and regulations applicable to its job function.

Pay Range: $140-$160k plus bonus depending on experience. The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

The ideal candidate will be responsible for creating and implementing project and bid strategies. You will do so by analyzing project proposals and historical cost data. Ultimately, your work will help us develop new business opportunities.

Responsibilities

• Attend bid meetings and develop and execute bid strategy
• Prepare thorough and timely cost analysis
• Analyze project proposals to prepare budget and cost estimate
• Gather, update, and review historical cost data

Qualifications

• Bachelor's Degree or equivalent experience in Construction Management or related field of study
• Experience estimating projects or relevant engineering experience
• Proficient in Microsoft Office suite
• 5 years of estimating experience in the commercial G.C. sector
• Experience with bidding projects in the $1-30 million range.

Title: Account Manager

Location: Orlando, FL

Ready to take charge of key client relationships and drive meaningful business growth?

Join NES Fircroft in Orlando as an Account Manager, where you’ll own client delivery, lead recruitment activity, and play a vital role in expanding our presence across the region. This role is perfect for someone who thrives in a fast-paced, people-first environment and is excited to build lasting connections.

What You’ll Be Doing:

Client Champion: Serve as the primary point of contact for all contract staff—delivering consistent, responsive, first‑class service.

Lead Generator: Identify strong leads, uncover new roles, and feed the Contract Recruitment team with high‑quality vacancies.

Team Driver: Partner closely with recruiters to ensure seamless delivery on all live requisitions and client needs.

Industry Expert: Build your personal brand and become a subject matter expert through networking, client engagement, and industry insights.

Process Improver: Help elevate NES Fircroft’s supplier position by providing competitive insights and identifying process improvements.

Cross‑Functional Collaborator: Work hand‑in‑hand with invoicing, credit control, and compliance teams to keep operations running smoothly.

Bid & Proposal Partner: Support tenders, proposals, and RFIs alongside our commercial team to secure new business.

Global Connector: Collaborate with peers worldwide to develop international business and share best practices that elevate our delivery model.

Growth Accelerator: Proactively identify and develop new revenue streams, service lines, and regional expansion opportunities.

What We’re Looking For:

Industry Experience: 3+ years in Sales, Account Management at a staffing (Oil & Gas experience a plus).

People‑Focused Personality: Outgoing, engaging, and exceptional at building long‑lasting client relationships.

Customer Service Pro: Delivers a top-tier experience with ease, empathy, and professionalism.

Organizational Guru: Detail-oriented, methodical, and excellent at managing multiple priorities.

Target Achiever: Driven to meet and exceed objectives in a fast-paced environment.

Multitasking Master: Comfortable juggling tasks while maintaining quality and accuracy.

Why NES Fircroft?

Financial Stability: Competitive base salary + strong bonus structure.

Time Off: 22 PTO days (increasing with tenure) + 10 paid holidays, festive shutdown (companywide shutdown from Christmas to the new year).

Giving Back: One paid charity day per year, plus volunteering opportunities

Small but Mighty: Free onsite parking.

Career Growth: Training programs & clear progression paths

Culture: Fun, energetic, supportive team environment.

Who Are We?

NES Fircroft isn’t just a staffing agency — we’re a global powerhouse in engineering recruitment, shaping the workforce of tomorrow across Energy, Power, Chemicals, Life Sciences, and more. We innovate, grow, and have fun doing it.

Accessibility & Inclusion

We’re committed to an inclusive workplace and welcome applicants with disabilities and those who are neurodiverse. If you require adjustments during the recruitment process, please let us know — we’re here to support you.

Don’t Meet Every Requirement?

If you’re excited about this role but don’t tick all the boxes, we still encourage you to apply. You may be the perfect fit.

NES Fircroft – Empowering with energy!

About Us // Meet The Team // Follow Us On Youtube!

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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