Engineering Structures Elsevier Jobs in Mckeesport, PA

Structural Department Manager

Pittsburgh, Pennsylvania Office

RT Patterson (Powered by Allied Resources Group) has an immediate opening in our Pittsburgh, Pennsylvania office for a full-time Structural Department Manager to design and implement heavy industrial facility (new and existing) equipment and structural foundations, piles, mill buildings, structures/platforms, and pipe racks/supports. To do well in this role we you are a licensed professional engineer and have extensive experience as a Civil/Structural engineer conforming to the following responsibilities and requirements.

Structural Engineer Responsibilities:

• Perform basic and advanced engineering analysis and design for heavy industrial facilities. Implement design or analysis tasks in accordance with building code requirements.
• Collect. review, and prepare data and information (Design Criteria) needed for project design.
• Conduct field/site trips and investigations associated with a project where you will obtain needed information and measurements.
• Supervise the work of other engineers and CAD technicians/designers.
• Manage design work from beginning to end.
• Review of construction drawings.
• Review and approval of fabrication drawings.
• Ensuring compliance with specifications, codes, or customer requirements by directing or coordinating installation, manufacturing, construction, maintenance, documentation, support, or testing activities.
• Writing reports and compiling data regarding existing and potential structural engineering projects and studies.
• Preparing civil/structural construction specifications.
• Training of project team members.
• Estimating material, labor, or construction costs for budget preparation.
• Manage engineering projects and deliver them on time.
• Define customer needs and requirements.
• Collaborate with engineers and CAD technicians/designers from other disciplines as well as other companies. Work in a team environment.

Structural Engineer Requirements:

• Minimum of bachelor’s degree in civil/structural engineering degree from an ABET accredited school.
• 5+ years relevant work experience, including internship or cooperative program experience.
• Licensed as a professional engineer. (required)
• Knowledge of AISC, ACI, ASCE, IBC, Mill Building standards.
• Proficient in design and calculation software – STAAD.Pro and/or RISA 3D.
• Knowledge of civil/structural Excel spreadsheets and MathCAD preferred.
• Proven expertise as a Structural Engineer.
• Must have a working knowledge of AutoCAD. Knowledge of Advanced Steel is a plus.
• Proficient in the use of Word, Excel, PowerPoint, and other Office Suite software.
• Ability to travel to client sites to obtain needed information.
• Problem-solving abilities.
• Written and spoken English proficiency.
• Proficient in writing and editing project specifications, technical reports, and proposals.
• Demonstrated ability to meet deadlines.
• Attention to detail.
• Strong oral and written communication skills.
• Strong organizational skills.

Other:

-Salary commensurate with experience.

-An Approximate range is $150,000 - $155,000

-Hybrid, 3 days in office

-Office is in Downtown Pittsburgh - a Parking pass is provided

This is a great opportunity for someone to grow in their career!

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We're seeking an exceptional Head of Engineering to lead our technical organization through our next phase of growth. As our engineering leader, you'll build and scale our team, establish technical excellence, and drive the development of products that delight our customers. This is a unique opportunity to shape the engineering culture and technical foundation of an early-stage startup with ambitious goals.

What you’ll do:

• Lead engineering teams in designing and implementing scalable, cloud-native architectures for AI-powered, agent-based applications 
• Drive technical strategy and establish engineering best practices across the organization with an AI-first approach 
• Oversee the development lifecycle from planning through deployment using modern CI/CD pipelines 
• Champion security-first development practices and ensure compliance with industry standards 
• Mentor and develop engineering talent while fostering a culture of innovation and continuous improvement 
• Build and maintain a hybrid engineering culture with effective collaboration practices across in-office and remote team members 
• Collaborate with product, design, and business stakeholders to align technical solutions with retail customer needs 
• Establish and monitor engineering KPIs, system performance metrics, and technical debt management 
• Lead incident response protocols and ensure high availability of production systems 

What we’re looking for:

• 10+ years of software development experience, including 5+ years in engineering leadership roles
• Strong application development background with hands-on experience scaling production systems
• Proven track record of scaling engineering teams from ~5 to 50+ engineers
• Ability to define who to hire and when, aligned to business and product priorities
• Experience building and maturing software development practices
• Deep expertise in modern programming languages, frameworks, and architectural patterns Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS, GCP, or Azure) 
• Experience building and scaling multi-tenant SaaS platforms 
• Familiarity with modern data engineering, machine learning operations, or AI/ML infrastructure 
• Experience with DevOps practices, containerization (Docker, Kubernetes), and infrastructure as code 
• Experience with database design, optimization, and data architecture strategies
• Demonstrated ability to build and lead high-performing remote and distributed teams Excellent communication skills with ability to translate technical concepts for non-technical stakeholders 
• Strong knowledge of Agile, Scrum, or other iterative development methodologies

Nice to have:

• Expertise in building platform engineering capabilities and developer experience initiatives Knowledge of observability tools and practices, particularly Honeycomb or similar event driven observability platforms 
• Experience with security frameworks, penetration testing, and compliance requirements (SOC 2, GDPR, HIPAA) 
• Early-stage startup experience with ability to thrive in ambiguous, fast-moving environments 
• Experience in retail tech, e-commerce, or similar enterprise software platforms 
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience 

Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

Shermco Industries

Since 1974, Shermco has become North America’s largest and fastest growing NETA-accredited electrical testing organization. Our focus is to make sure electrical power systems are functioning properly and safely. Additionally, our Professional Engineering Group, Rotating Machinery Division, Renewable Energy Services, and Field Repair and local Repair Service Centers, places Shermco in a position to handle all things electrical, all done with an emphasis on safety and client service.

TERRITORY ACCOUNT MANAGER

Due to continued growth, we are seeking a Territory Account Manager. Shermco is ISO certified, a member of EASA, AWEA, PEARL and is accredited by NETA, PEV, SKF & ANAB. Shermco Industries is a founding member of NETA and has one of the largest field services divisions in the industry.

Minimum Qualifications

• Bachelor's degree preferred or equivalent education & experience in Engineering or related field. This is desired, not required.
• 3+ years of successful outside B2B sales experience, preferably in an engineering, industrial or heavy commercial industry. Preference given to candidates with a successful sales track record in a power related industry, preferably from the high-voltage (480 VAC to 345 kV) electrical equipment testing & maintenance industry, including electrical field Services, field commissioning & acceptance testing, engineering in general including Arc Flash, Coordination Studies, transient studies, load flow analysis and general power engineering, and small scale electrical T&D or Substations construction projects.
• Demonstrated ability to be self-directed and highly motivated.
• Availability to travel weekdays throughout the geographic account territory.
• Strong interpersonal, communication, written and oral presentation skills and solid understanding of profitability and other financial measurements.
• Strong sales skills including and effective negotiation skills, ability to successfully interact with key customer decision makers and influencers, and ability to prospect new customers and forecast future business.
• Must be able to demonstrate technical knowledge and consultative skills.
• Required overnight travel up to 20% of the time.
• Basic computer skills with the following software: Excel, Word, Adobe, Microsoft Outlook.

Job Responsibilities and Expectations:

• The primary role of this position will be to provide account management/sales targeting industrial, utility generations, data center, hospitals, and electrical contractors to sell Shermco’s full line of electrical testing, maintenance, repair & engineering services.
• Perform direct sales and business development activities which contribute to the growth and retention of business so as to meet or exceed targeted sales goals.
• Qualify prospective sales opportunities to determine which opportunities to pursue.
• Accountable for attaining yearly multi-million dollar sales budgets
• Identify, develop and implement sales strategies.
• Assist in the preparation of estimates, sales proposals, and sales presentations.
• Visit assigned account(s) on a regular basis in order to maintain a "strategic relationship" status; identifies necessary account changes and opportunities as quickly as possible.
• Maintain industry knowledge and improve technical knowledge based on market requirements
• Support our key marketing activities necessary to support sales growth in efforts such as, road shows, national conferences, tradeshows, sales trainings, and various sales engagement activities such as trade organizations.
• Manages pricing and channel issues as they arise relating to competitive quotes and cross selling conflicts.
• Support account from sales, securing purchase orders, terms and conditions, and customer relations.
• Perform job walks.
• Be a front line focal point between sales and production to qualify opportunities.
• Be able to support lunch and learns and lead customer discussions.
• Work with Customer Service group to enhance customer’s buying experience.
• Support Shermco training events and trade shows.
• Import sales activity into CRM.

Additional Requirements:

• Must be able to pass a pre-employment drug test and periodic, unannounced random drug tests.
• Must be able to pass a pre-employment criminal background check.
• All offers are conditioned on acceptable results from a background check and drug and alcohol screening.
• Must have a valid driver’s license, and currently have and be able to maintain a good driving record.
• Must be able to travel overnight approximately 5 - 10% of the time to visit customers, prospective customers, and attend trade shows.
• Must be able to drive for extended periods, work at a desk/cubicle on a PC, and visit and tour varying customer sites with or without reasonable accommodations. Must be able to pass a fit for duty physical exam.
• Must be able to fluently read, write, and speak English.

A high-mix manufacturer, that has doubled in size in the past two years, is seeking a Manufacturing Engineer. Organization produces mission-critical components for electrical, defense, medical, and transportation markets and known for engineering excellence, quality and a strong, collaborative culture.

Manufacturing Engineer

The Manufacturing Engineer will collaborate with the production team, quality team, and other key functions to drive efficiency, eliminate waste, and improve quality in the cast resin manufacturing process. You will work with a cross-functional team to identify and act upon process improvement opportunities, ensure robust manufacturing procedures/documentation, support new product launches, and leverage our new state-of-the-art casting equipment to maximize value for our customers. Position will report to the Director of Engineering and become a critical part of the engineering and production team.

Responsibilities:

• Creation/Implementation of Standard Work, PFMEA’s, Control Plans and other Manufacturing Process Documentation
• Maintaining manufacturing documentation (drawings, BOM, standard work, etc.) in the ERP system for new and existing products
• Root cause and corrective actions to drive process improvement and elimination of waste
• Design and execution trials/experiments to develop manufacturing technology
• Design and manufacture/procurement of fixtures, tools, and other such items to support and improve the manufacturing process
• Collaborate with cross-functional teams to develop manufacturing area layouts which support efficient and repeatable execution of the manufacturing process
• Leverage manufacturing and materials expertise to develop the next generation of products in mission critical applications

Requirements:

• BSc in Engineering. Mechanical, Material, or Electrical concentration preferred
• Minimum 3 years experience in manufacturing engineering or a related field
• Experience with SolidWorks or similar CAD software
• Experience with root cause analysis and related tools
• Experience with SPC and related methods
• Understanding of Lean Principles
• Desire to grow and acquire new skills/certifications
• Collaboration and Interpersonal Skills
• Proficient in use of Microsoft Office Suite

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We're seeking a talented Senior Data Engineer to build and scale the data infrastructure that powers our retail technology platform. As a key member of our early-stage team, you'll design and implement robust data pipelines, establish best practices for data engineering, and enable data-driven decision making across the organization. This is a unique opportunity to shape the data foundation of a growing startup and work with cutting-edge technologies in both batch and streaming data processing.

What you’ll do:

• Design and implement scalable data pipelines for both batch and streaming workloads using Python and Spark 
• Build and maintain cloud-native data infrastructure to support our retail analytics and operational needs 
• Develop real-time streaming solutions to process transaction, inventory, and operational data 
• Develop AI agents to automate operations 
• Implement data quality validation and monitoring to ensure reliability across our data ecosystem 
• Establish DataOps best practices and automation as we scale our data infrastructure Own data security and privacy compliance as we handle sensitive customer and business data 
• Collaborate closely with product, engineering, and business teams to understand data requirements and deliver solutions 
• Mentor team members and contribute to building a strong data engineering culture 

What we’re looking for:

• 5+ years of hands-on data engineering experience 
• Strong proficiency in Python for data processing and pipeline development
• Production experience with Apache Spark for large-scale data processing
• Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure)
• Proven track record implementing both batch and streaming data pipelines
• Deep understanding of SQL and modern data warehouse technologies 
• Strong knowledge of data modeling, ETL/ELT patterns, and workflow orchestration Experience with distributed systems and cloud infrastructure 
• Excellent problem-solving and analytical skills 
• Strong communication skills with ability to translate business needs into technical solutions Thrives in fast-paced, early-stage startup environments with changing priorities 

Nice to have:

• Experience in retail tech, e-commerce, or similar enterprise systems 
• Expertise with real-time processing frameworks like Kafka, Kinesis, or Flink
• Proficiency with Python data handling libraries (pandas, NumPy, polars) 
• Knowledge of data quality and observability platforms 
• Understanding of event-driven architectures, medallion architectures, and CDC patterns 
• Previous experience at an early-stage startup or building data infrastructure from scratch 
• Background working with multi-tenant SaaS platforms or enterprise analytics systems
• Experience with container orchestration (Docker, Kubernetes) 
• Knowledge of DataOps and MLOps best practices

Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

Senior Automation Controls & Vision Engineer

Travel: Up to 25% (including international)

Local - Pittsburgh, PA

Benefits- Medical, Dental, Vision, Life and Disability Insurance, and 401K. In addition ESP Plan, and Tuition Reimbursement.

About Us

Our Client is a global medical technology company dedicated to improving the quality, effectiveness, and efficiency of health care. Their innovative solutions address advanced hospital technologies, plasma collection systems, and products that enable labs and centers to collect high-demand blood components.

Position Summary

The Senior Automation Controls & Vision Engineer leads the design, integration, and optimization of advanced automation and vision-based inspection systems across our global manufacturing operations. This role partners closely with R&D, Manufacturing, Quality, and Software Engineering to deploy high-performance, defect-detection and quality control solutions.

Key Responsibilities

• Integrate and optimize machine vision systems (Cognex, Keyence, Teledyne, SICK, Fanuc, KUKA, Dalsa).
• Configure lighting, lensing, positioning, and vibration control to ensure inspection reliability.
• Design and program Allen-Bradley PLC systems (ControlLogix, CompactLogix, FactoryTalk).
• Develop HMIs, safety interlocks, and integrated automation architectures.
• Program and integrate Epson and/or ABB robots (preferred).
• Lead projects from concept through validation and deployment.
• Drive continuous improvement, Industry 4.0, and data-driven manufacturing initiatives.

Qualifications

• Bachelor’s Degree in Engineering (Electrical, Computer, or related field preferred).
• 5+ years of experience in automation controls and/or vision system engineering.
• Strong Allen-Bradley PLC programming expertise.
• Hands-on machine vision setup and optimization experience.
• Programming experience in C++ or Python.
• Medical device manufacturing experience preferred.
• Lean/Six Sigma certification a plus.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We are seeking a Machine Learning Engineer who understands the heartbeat of retail. In this role, you will build the intelligence that helps major retailers make critical merchandising decisions, balancing profit, revenue, and inventory health.

You will sit at the intersection of ML Engineering, Retail Strategy, and Data Science. Your work will power the "brain" of our platform, transforming raw sales data and competitive signals into actionable pricing strategies and clear insights for merchants and buyers.

What you’ll do:

• Design and deploy models specifically for retail challenges, such as demand forecasting, price elasticity at the SKU level, seasonality detection, and markdown optimization.
• Evolve our Python-based optimization engine to handle complex retail constraints (e.g., maintaining brand standards, psychological price points, and inventory sell-through targets).
• Engineer systems that explain the "why" behind a price change. You will translate model outputs into merchant-friendly insights (e.g., "We recommend a markdown here because competitor X dropped price and inventory depth is high").
• Develop logic to optimize products across their entire lifecycle—from initial price setting to promotional strategies and final clearance.
• Build robust data pipelines to ingest and process diverse retail datasets, including POS transactions, competitor scraping, and inventory feeds.
• Work closely with product managers to understand the needs of category managers and pricing analysts, ensuring our algorithms solve real-world merchandising pain points.

What we’re looking for:

• 3+ years of experience building production ML systems using Python, Scikit-learn, or PyTorch, with a focus on regression and time-series forecasting.
• A strong understanding of (or deep interest in) retail mechanics—how inventory turns, gross margin, and sell-through rates drive business success.
• Familiarity with mathematical optimization techniques and how to apply them to business constraints (e.g., linear programming, constraint satisfaction).
• Expert SQL skills and ability to model complex data relationships (e.g., parent-child product hierarchies, store clusters).
• The ability to look at an optimization result and explain the business logic behind it. You can debug not just code, but the retail logic.
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related technical field.

Nice to have:

• Master’s degree in Artificial Intelligence, Computer Science, Operations Research, or Statistics.
• Experience in Retail Analytics, E-commerce, Supply Chain, or Revenue Management.
• Familiarity with "Explainable AI" (XAI) tools to make black-box models transparent to business users.
• Experience handling sparse data or cold-start problems (e.g., pricing new products with no history).

Position Overview

Our client is seeking a senior transactional attorney with substantial experience in corporate finance, private placements, private capital markets transactions, and complex entity governance to assume a key role within its Corporate Practice Group. This position replaces a long-standing role previously held by an equity Member and offers significant responsibility, autonomy, and long-term advancement potential.

The role is well suited for an attorney who focuses on capital formation and governance for privately held companies and investment vehicles, values in-person collaboration, and can independently manage sophisticated financing matters.

Core Practice Focus

• Corporate finance and capital formation
• Private placements of equity and debt securities
• Private capital markets transactions
• Formation and governance of private companies and investment entities

Key Responsibilities

Corporate Finance & Capital Markets

• Lead and execute private placements and other capital-raising transactions, including equity, preferred equity, convertible securities, and debt financings.
• Advise issuers and investors on securities law compliance, offering exemptions, disclosure obligations, and risk considerations.
• Draft, review, and negotiate offering memoranda, subscription agreements, investor rights agreements, and related financing documentation.
• Coordinate transaction closings with clients, investors, placement agents, financial advisors, and accounting professionals.

Entity Formation & Governance

• Draft, review, and negotiate complex LLC operating agreements, shareholder agreements, partnership agreements, and related governance documents.
• Advise clients on governance structures, control provisions, fiduciary duties, investor rights, and exit mechanisms.
• Support ongoing corporate governance matters, including amendments, restructurings, and ownership changes.
• Counsel clients on alignment of governance terms with financing and capital structure objectives.

Client Advisory & Relationship Management

• Serve as a trusted legal and business advisor to executives, founders, boards, and investors.
• Provide strategic guidance regarding capital structure, governance, and investor relations.
• Communicate complex legal and financial concepts in a clear, practical manner.
• Maintain and grow long-term client relationships.

Firm Collaboration & Leadership

• Work closely with other partners and practice groups on cross-disciplinary matters related to corporate finance and governance.
• Mentor associates and contribute to professional development within the Corporate Practice Group.
• Participate in business development and firm initiatives.

Candidate Qualifications

• 8+ years of relevant experience in corporate finance, private placements, private capital markets, and entity governance
• Demonstrated ability to independently manage complex financing and governance matters
• Significant experience drafting LLC operating agreements and other sophisticated governance documents
• Experience advising middle-market companies, private investors, funds, or sponsors
• Strong drafting, negotiation, and analytical skills
• Excellent client communication and project management capabilities
• Pennsylvania Bar admission (or ability to obtain promptly)
• Willingness to work primarily in-office, with some hybrid flexibility