Production Level Python Code Example Jobs Remote Jobs No Experience Jobs in Usa
15 positions found — Page 2
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).
This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $140,000
- $180,000 per year A bit about us: We’re transforming how government agencies digitize forms and automate workflows.
Our new initiative brings AI directly into this process
- using LLMs, vector search, and structured PDF parsing to accelerate public service delivery.
We’re not just bolting AI onto the side.
It’s becoming core to how our platform works.
We’re looking for a senior machine learning engineer to take the lead on this effort.
You’ll be the architect of our AI capability
- not just a contributor.
Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately.
This isn’t an R&D team running experiments
- it’s about delivering intelligent automation, right now.
Why join us? 100% remote based in the US Help shape the AI transformation of public sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families Job Details You’ll design and build our machine learning infrastructure
- starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops.
You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder.
This is not a research job or a sandbox role
- it’s a real opportunity to push AI into production at scale.
What you’ll do Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search Design prompt strategies and agents to translate parsed PDF data into form component schemas Fine-tune LLMs for structured output generation with low-latency performance in mind Lead the development of an RLHF loop that incorporates builder UI feedback and audit data Help architect systems that blend traditional APIs and probabilistic inference reliably Work alongside full-stack and platform engineers to get it all running in production Stay plugged into the latest model capabilities, and make smart calls on what to adopt Tech you’ll use Azure AI Studio, Azure OpenAI, GPT-4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD for structured PDF parsing What we’re looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking—how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You’ve shipped a working vector search + RAG pipeline integrated into our form builder You’ve scoped and kicked off our first LLM fine-tuning cycle We’re collecting human feedback to improve model accuracy You’ve helped define the roadmap for AI integrations across the platform Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
The position will manage software/system projects and provide guidance to technical staff.
JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S.
Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II.
JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges.
**An ideal candidate will have current Secret clearance and must be Top Secret eligible
** **This position located at China Lake and is not eligible for telework
** Job Summary -- Essential Functions/Duties A Software Systems Engineer IV provides software and systems engineering services, generally as a senior member of a work unit or group.
Employee will be responsible for the following functions/duties: Manage software/system projects and provide guidance to technical staff Interact with customers and project managers on a regular basis Use broad judgment in defining and solving technical or managerial issues of the highest complexity or of far-reaching significance Capture and manage customer requirements at a system level and develop and analyze the most appropriate approach to solve complex technical problems Function as the system architect overseeing the overall design and configuration management of systems Develop the design of system/software and associated design documentation Prepare and conduct design reviews Implement design through software coding or hardware and document the design implementation Plan and execute unit, integration, and system testing Manage maintenance and sustainment activities of the system/software Provide work direction to subordinate technical staff Establish and maintain positive customer relations Support pursuit of new business efforts, lead proposal efforts, and act as a technical consultant Perform other job-related duties, as required Range Requirements Demonstrates a knowledge of standard programming algorithms, design patterns, and object-oriented software design Demonstrated ability to program using C++ language code, C, and Python 3 Develops parallel processes, threading, process communication Familiar with utilizing Git for daily code management, including branching, merging, and resolving conflicts within a collaborative development environment Works proficiently with Git in both Bash (Linux) and Windows environments Interacts with remote repositories, pushes code updates, and manages local repositories Adheres to established branching strategies and understands the implications of working with master/production branches Collaborates with team members to design future enhancements Familiarity with time-series analysis a plus Familiarity with Red Hat Linux Familiarity with live-virtual-constructive simulation and aircraft avionics, MIL-STD-1153 and MIL-STD-1773 Individual must be capable of obtaining and maintaining a DOD Top Secret clearance Requirements -- Education, Technical, and Work Experience One of the following educational requirements must be met for this position: A bachelor's degree in an associated discipline and a minimum of eight years of related experience A master's degree in an associated discipline and a minimum of six years of experience A PhD in an associated discipline and a minimum of four years of experience In addition, a Software Systems Engineer IV must possess the following qualifications: Demonstrated expertise with computer-based systems and applications Excellent programming skills in languages used for job-specific programming tasks Experience in the application of industry standard hardware and software design and documentation techniques Extensive knowledge of systems engineering and software development lifecycles Effective oral and written communication skills Good planning/organizational skills Ability to work under deadlines Salary The expected salary range for this position is $127,587.20 to $175,443.84 annually.
Note: The salary range offered for this position is a good faith description of the expected salary range this role will pay.
JT4 considers factors such as (but not limited to) responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market/business considerations when extending an offer.
Other Responsibilities Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job.
Working Conditions Work is performed in a typical office environment with no unusual hazards.
Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required.
Travel to remote company work locations may be required.
Disclaimer The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification.
They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified.
Tasking is in support of a federal government contract that requires U.S.
citizenship.
Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license or other licenses / certifications and the inability to obtain and maintain the required clearance, license or certification may affect an employee's ability to maintain employment.
SCC: JSD12; A4CLR
HCLTech is looking for a highly talented and self- motivated [GenAI Architect] to join it in advancing the technological world through innovation and creativity
Job Title: [GenAI Architect]
Job ID: (58039)
Position Type: Full-time
Location: Redmond, WA
Background:
We are looking for GenAI / Agentic Engineers across junior and senior levels to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. You will participate in end-to-end SDLC—from analysis and design to development, testing, and deployment—and collaborate closely with stakeholders to deliver robust, scalable AI solutions. Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation.
Role/Responsibilities
Responsibilities
Core
- Participate in the analysis and design of GenAI and Agentic AI applications.
- Develop AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio and LangChain/ LangGraph.
- Implement data science / machine learning algorithms defined by Solution Architects.
- Follow all SDLC phases: requirements, design, development, testing, deployment, and maintenance.
- Collaborate with customers/stakeholders on project status and deliverables.
- Work with Azure cloud platform is required. AWS / Google Cloud knowledge is a plus.
Required Skills & Qualifications
Core Technical Skills (All Levels)
- Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc..
- GenAI / Agent frameworks: Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI, LangChain, LangGraph.
- Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP.
- Familiarity with GenAI tools: MCP Server, Agent 2 Agent Communication, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).
- Working knowledge of Azure platform and PaaS services
- Ability to work across the SDLC with clean code, testing, and documentation.
Nice-to-Have
- Experience with AutoGen / LangGraph multi-agent patterns and orchestration.
- Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails.
- Exposure to MLOps (model versioning, deployment, monitoring).
- Cloud certifications (Microsoft Azure) is a plus.
What You’ll Deliver
- Production-ready GenAI/Agentic applications.
- Fine-tuned models and reproducible experiments.
- Clear documentation, test coverage, and deployment pipelines.
- Regular updates on project status and deliverables to stakeholders.
Pay and Benefits
Pay Range Minimum: $ 200000 per Year
Pay Range Maximum: $ 220000 Per Year
HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you!
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
We're looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on-the-job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI-driven development environments (e.g., Cursor, GitHub Copilot), or built automations using AI agents. Show us how you've used AI to learn, build, and solve problems beyond basic text generation.
What we are looking for:
A knowledge and passion for emerging technologies (API's, Big Data, Native UI's) to incorporate into building great products
Use SQL to build a data-back strategy, identify insights, and troubleshoot issues
Own day to day setting and monitoring of KPIs - requires strong SQL/data analysis skills
Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team
Proficiency in handling large data files using SQL, Python, and/or R
Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data
A product centric mindset to take a product from ideation to production and continually iterate improvements
A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
Creating and maintaining a healthy team culture through thoughtful leadership
Results focused and able to manage and prioritize multiple projects simultaneously
Identify, prioritize, and launch innovative, merchant focused products that drive revenue and customer value
What you'll do:
Lead multiple teams of software and data engineers to design and deliver data platform features for internal users
Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns
Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions
Create a vision and roadmap for your product that addresses stakeholder needs
Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches
Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
Define, socialize, and monitor key performance indicators to understand the evolution and success of the project
Basic Qualifications:
At least 5 years of experience working in Product Management
At least 5 years experience working with SQL
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Capital One is open to hiring a Remote Employee for this opportunity .
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $210,500 - $240,300 for Sr. Mgr, Product ManagementRemote (Regardless of Location): $175,500 - $200,300 for Sr. Mgr, Product ManagementMcLean, VA: $193,000 - $220,300 for Sr. Mgr, Product ManagementSan Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementSenior Manager, Product Manager: Capital One Shopping (Remote-Eligible)
We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you!
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
We're looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on-the-job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI-driven development environments (e.g., Cursor, GitHub Copilot), or built automations using AI agents. Show us how you've used AI to learn, build, and solve problems beyond basic text generation.
What we are looking for:
A knowledge and passion for emerging technologies (API's, Big Data, Native UI's) to incorporate into building great products
Use SQL to build a data-back strategy, identify insights, and troubleshoot issues
Own day to day setting and monitoring of KPIs - requires strong SQL/data analysis skills
Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team
Proficiency in handling large data files using SQL, Python, and/or R
Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data
A product centric mindset to take a product from ideation to production and continually iterate improvements
A customer-first mindset
A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
Creating and maintaining a healthy team culture through thoughtful leadership
Results focused and able to manage and prioritize multiple projects simultaneously
Identify, prioritize, and launch innovative, merchant focused products that drive revenue and customer value
What you'll do:
Lead multiple teams of software and data engineers to design and deliver data platform features for internal users
Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns
Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions
Create a vision and roadmap for your product that addresses stakeholder needs
Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches
Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
Define, socialize, and monitor key performance indicators to understand the evolution and success of the project
Basic Qualifications:
At least 5 years of experience working in Product Management
At least 5 years experience working with SQL
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Capital One is open to hiring a Remote Employee for this opportunity .
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $210,500 - $240,300 for Sr. Mgr, Product ManagementRemote (Regardless of Location): $175,500 - $200,300 for Sr. Mgr, Product ManagementMcLean, VA: $193,000 - $220,300 for Sr. Mgr, Product ManagementSan Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-8 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Helping all candidates find great careers is our goal. The information you provide here is secure and confidential.
We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.
#J-18808-Ljbffr
Remote working/work at home options are available for this role.
