Engineering Structures Elsevier Jobs in Pa Remote

Anotech, an Alten group company, specializes in engineering consulting for the energy, infrastructure and process industries. Present in 40 countries, we offer reliable and efficient support to our clients in the realization of their large-scale projects, while maintaining compliance with local and international regulations, by presenting them to the highest qualified industry talent. Our goal is to deliver tailor-made engineering services to major industry projects that will shape tomorrow.

Our team is currently looking for a Risk Manager for a critical greenfield construction project. This role is responsible for supporting project teams in identifying, assessing and managing risk across the full project lifecycle, ensuring risk management processes, reporting and mitigation strategies are implemented to protect project objectives related to schedule, cost, quality and safety.

About you:

• Proven experience in project risk management within large capital projects, preferably in Pharma, Bio-tech, or Nuclear industries
• Strong knowledge of project controls and project execution processes
• Experience with risk analysis tools such as Acumen, @Risk, Safran or PRA
• Understanding of Monte Carlo analysis and three-point estimation techniques
• Ability to evaluate risk impacts on cost, schedule and project performance
• Ability to facilitate workshops and present complex information clearly to leadership and stakeholder teams

About the role:

• Facilitate identification, assessment, and prioritization of project risks across technical, commercial, operational, and external areas.
• Lead and facilitate risk workshops, reviews, and training sessions with project teams and stakeholders.
• Maintain and update risks within the Risk Management System (e.g., 12C) throughout the project lifecycle.
• Develop and support implementation of risk response and mitigation plans with risk owners.
• Perform quantitative and qualitative risk analysis, including Monte Carlo simulations where applicable.
• Prepare and deliver regular risk reports highlighting key risks, mitigation actions, and residual exposure.
• Support development of project execution plans, risk management plans, and project control documentation.
• Collaborate with project teams to integrate risk mitigation measures into project schedules, cost plans, and delivery strategies.
• Ensure compliance with internal project management frameworks, engineering standards, and regulatory requirements (e.g., GMP).
• Capture and document lessons learned to improve future risk management practices.

Anotech, an Alten group company, specializes in engineering consulting for the energy, infrastructure and process industries. Present in 40 countries, we offer reliable and efficient support to our clients in the realization of their large-scale projects, while maintaining compliance with local and international regulations, by presenting them to the highest qualified industry talent. Our goal is to deliver tailor-made engineering services to major industry projects that will shape tomorrow.

Our team is currently looking for a Project Director for a critical greenfield construction project. This role is responsible for leading and managing complex capital projects, while ensuring projects are delivered on time, within budget and in compliance with regulatory requirements.

About you:

• Bachelor's Degree in Engineer, Construction Management, or related field
• 15+ years' experience managing complex capex projects in pharmaceutical, biotech, or nuclear industries
• Extensive knowledge of GMP, regulatory requirements and validation processes
• Proficiency in project management tools and methodologies
• Strong Decision making skills under pressure

About the role:

• Act as trusted advisory to executive stakeholders and sponsors
• Build, lead and mentor cross-functional project teams to achieve high performance
• Develop and drive strategy for capital project delivery
• Act as key point of contact for executive leadership
• Oversee project budgets, ensuring cost control and alignment on approved financial plans
• Develop detailed project execution plans, including scope, schedule, budget and resource allocation
• Ensure all deliverables meet regulatory requirements, including FDA, EMA and local health
• Oversee transition of project from engineering phase to operational readiness, ensuring all training, documentation and operational systems are in place before project completion

Due to project requirements, all candidates must hold valid US work authorization. No sponsorship will be offered at this time.

Candidates not local to the area are eligible for reimbursement of all travel expenses to site.

Call Notes from Hiring manager

15+ years of experience

Routing — BGP, EIGRP — MUST HAVE

Firewall— new network, migration from Cisco ASA to Cisco Secure Firewall — Customers today migrate from Cisco ASA to:

Cisco Secure Firewall Threat Defense (FTD) — MUST HAVE

This is Cisco's official and recommended upgrade path, supported by automated migration tools.

CISCO certifications is a plus

Key Responsibilities

Design, develop, install, and maintain enterprise network infrastructure, including routers, switches, and related equipment

Implement and manage network security solutions, including firewalls, ACLs, and object groups

Monitor network performance and proactively troubleshoot outages or performance issues

Perform routine network maintenance, including firmware and software upgrades

Provide remote and on-site technical support to internal teams and business users

Test, deploy, and support new network hardware, software, and applications

Develop detailed engineering design packages to integrate new technologies into existing environments

Collaborate with clients, vendors, and cross-functional technical teams to ensure network reliability and quality

Create strategic roadmaps for future hardware and software upgrades and enhancements

Participate in network audits, quality reviews, and standards compliance initiatives

Follow disciplined change management practices with awareness of downtime impact in industrial environments

Perform additional duties as required

Minimum Qualifications

Bachelor's degree in Computer Science, Information Technology, or equivalent IT/OT discipline from an accredited institution

15+ years of network engineering or related experience, preferably in an industrial or large-scale enterprise environment

Active Cisco CCNP certification preferred (or Siemens CPIN-level equivalent)

Proven ability to work independently with minimal supervision

Strong analytical, problem-solving, and troubleshooting skills

Excellent verbal and written communication skills

Ability to manage multiple tasks with strong attention to detail

Demonstrated ability to learn and adopt new technologies quickly

Electrical Project Engineer (P.E.)

Pittsburgh, PA area

$120,000 - $140,000

Job ID #29092

Our client is a locally owned engineering firm that has been experiencing tremendous growth in recent years- going from 100 to 150 employees in just the past few years. They offer extremely good benefits including excellent matching on retirement plans, growth and stability, bonus incentives and an opportunity to work with a great team of engineers on major construction/architecture projects.

• Due to major growth they currently need to hire an experienced Electrical Project Engineer. Main duties include:Leading the design and development of major construction and architectural build projects
• Using Revit to aid in the electrical design of power distribution systems, lighting systems, security/HVAC/Telecomm and various other electrical systems
• Work directly with clients to ensure projects are meeting deadlines, budgets and strict electrical codes/requirements
• Travel, occasionally, to monitor the construction of new build projects, or the expansion of existing sites. Travel will only be about 10-15%, and typically not overnight
• Qualifications include:At least a BS degree in Electrical, Civil or Architectural Engineering
• PE license, or a close path to achieving one
• Strong Electrical Design experience (Revit or AutoCAD)
• Excellent Project Management skills and the ability to work with customers daily

Job title: Control Engineer

Location: Lancaster, PA

Position: Long term contract

Job Overview

• We are seeking a skilled Controls Engineer to support, maintain, and enhance automation systems within our Injection Molding facility.
• The role involves developing, troubleshooting, and optimizing control systems for injection Molding machines, auxiliaries, and related automation to ensure high efficiency, quality, and reliability of production.
• Key Responsibilities
• Design, develop, and maintain PLC/HMI/SCADA-based control systems for injection Moulding machines and auxiliary equipment (robots, dryers, chillers, conveyors, etc.).
• Troubleshoot electrical and automation issues to minimize downtime.
• Program and modify PLCs (Siemens, Allen-Bradley, Mitsubishi, etc.) and HMIs to improve cycle times, efficiency, and safety.
• Vision systems (Cognex, Keyence, Omron, Sick, Basler, OpenCV-based solutions) for inspection and defect detection.
• Integrated vision inspection systems for in-line defect detection, dimensional accuracy, and traceability.
• Integrate new machines, robotics, and automation equipment into existing systems.
• Ensure compliance with safety standards, electrical codes, and company policies.
• Collaborate with maintenance, production, and quality teams to resolve automation and process-related issues.
• Provide documentation (wiring diagrams, control logic, program backups, change logs).
• Support preventive and predictive maintenance activities for automation systems.
• Lead or support continuous improvement initiatives such as Industry 4.0/IIoT integration, data acquisition, and energy optimization.
• Train technicians and operators on control system functionalities and troubleshooting.

Qualifications & Skills

• Bachelor’s degree in Electrical, Electronics, Instrumentation, Mechatronics, or related field.
• 7+ years of experience in automation/controls engineering, preferably in plastics or injection Moulding industry.
• Hands-on experience with PLC programming (Siemens, Allen-Bradley, Mitsubishi, or similar).
• Familiarity with robotics (Fanuc robot, SCARA robot or similar) and integration with Moulding machines.
• Strong knowledge of industrial communication protocols (Ethernet/IP, Profinet, Profibus, Modbus, OPC-UA).
• Experience with SCADA, HMI development, and data logging systems.
• Solid understanding of electrical schematics, motor controls, VFDs, and safety circuits.
• Problem-solving mindset with the ability to work under pressure in a fast-paced production environment.
• Good communication skills and ability to work in cross-functional teams.
• Preferred (Nice-to-Have)
• Experience in injection Moulding process optimization (cycle time reduction, scrap reduction).
• Knowledge of Industry 4.0, MES, or IIoT platforms.
• Exposure to vision systems and quality inspection automation.
• Familiarity with ISO/TS standards for manufacturing.

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

*Securian Financial Groups internal position title is Engineering Sr Analyst.

Position Summary:

Are you an experienced application developer passionate about creating impactful technology solutions? Securian Financial is seeking an Engineering Senior Analyst with 2-4 years of proven application development experience, specifically skilled in Java, Mainframe, and Informatica, to join our Life & Annuity Actuarial Systems Technology team. As a crucial member of our agile scrum team, you'll innovate, optimize data processing, and support critical actuarial systems, leveraging a diverse technology stack including AWS, Spring, SQL Server, and Oracle.

Responsibilities include but not limited to:

• Own critical business application support, promptly resolving complex production issues to ensure reliable and efficient operations.
• Drive modernization initiatives such as Application Rationalization and migration to AWS, significantly enhancing our systems' capabilities and performance.
• Become a subject matter expert in Individual Life and Annuity business processes, influencing strategic decisions and technical planning.
• Cultivate strong relationships with stakeholders and cross-functional teams, fostering collaboration and alignment.
• Lead and execute projects through detailed analysis, thoughtful design, robust development, rigorous testing, seamless integration, and successful implementation.
• Encourage innovation and creativity through a proactive test-and-learn approach, contributing actively to continuous improvement.

Qualifications:

• 2-5 years of proven professional experience in application development.
• Extensive experience (3+ years) in Java development, particularly using Spring and Spring Batch frameworks.
• Demonstrated ability to tackle and resolve complex technical challenges.
• Excellent communication and interpersonal skills, thriving in a collaborative team environment.
• Strong expertise in Mainframe systems and Informatica ETL tools.

Preferred Qualifications:

• Experience in system design and analysis.
• Expertise in Mainframe systems and Informatica ETL tools.
• Previous exposure to actuarial systems or financial services technology environments.

#LI-Hybrid **This position will have a hybrid working arrangement, working in-office for a minimum of 3 days a week.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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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

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