Python

Python Developer Jobs

274 jobs found

Today

Machine Learning Engineer- Senior Consultant Level

Visa Technology and Operations LLC Austin, TX

Austin, TX

Today

$173k - $277k/yr Full time Python Senior Artificial Intelligence

Apply Now

Job Description

Visa Technology and Operations LLC is hiring a senior-level Machine Learning Engineer for onsite work in Austin, TX.

Responsibilities

Develop and program integrated software algorithms for product and systems applications in both structured and unstructured data environments
Use machine language and statistical modeling techniques to improve product/system performance, quality, data management, and accuracy
Perform rigorous validation to identify logical flaws using sound machine learning practices
Translate algorithms and technical specifications into production code using current programming languages and technologies
Design and implement methods for adaptive learning, model validation, A/B testing, and explainability of model decisions

Requirements

8+ years of relevant work experience with a Bachelor Degree, or 5+ years with an Advanced Degree (e.g., Masters, MBA, JD, MD), or 2+ years with a PhD
Experience developing and programming integrated software algorithms for structured and unstructured data environments
Ability to program in one or more scripting languages such as Rust or Python, and one or more programming languages such as Java, C++ or C#
Advanced Generative AI experience/usage

Preferred Qualifications

9+ years relevant work experience with a Bachelor Degree, or 7+ years with an Advanced Degree (e.g., Masters, MBA, JD, MD), or 3+ years with a PhD
Bachelor’s Degree in Computer Science, Operations Research, Statistics, or another highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, or statistical/mathematical analysis
Experience applying statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others
Experience conducting rigorous validation and identifying logical flaws in machine learning solutions
Experience translating algorithms and technical specifications into code using current programming languages and technologies
Experience designing and implementing adaptive learning methods, model validation, and A/B testing
Experience explaining model decisions and ensuring post-deployment integrity and accuracy
Experience working with large datasets and modern big data and ML/AI technologies
Experience with coursework in modeling techniques including logistic regression, Naïve Bayes, SVM, decision trees, or neural networks
Experience with statistical tools such as SAS, R, KNIME, Matlab
TensorFlow deep learning experience is a plus

Technology Stack

Rust, Python, Java, C++, C#
ChatGPT, Microsoft Copilot
TensorFlow
SAS, R, KNIME, Matlab
Generative AI tools, decision trees, logistic regression, Bayesian analysis, Naïve Bayes, SVM, neural networks

Compensation

Estimated salary range: $173,000.00 to $276,900.00 USD per year
May include potential sales incentive payments (if applicable)
Salary may vary based on job-related factors including knowledge, skills, experience, and location
Eligible for bonus and equity (if applicable)

Benefits

Medical, Dental, Vision
401(k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program

Work Location and Logistics

Location: Austin, TX
Work arrangement: onsite
Travel: 5-10% of the time
Work hours: varies based on the needs of the department

Work Environment

Office setting
Sitting and standing at a desk
Communicate in person and by telephone
Frequently operate standard office equipment (telephones and computers)

U.S. applicants only.

View full job page →

Today

Machine Learning Engineer

Molex Austin, TX

Austin, TX

Today

$170k - $250k/yr Full time Python Artificial Intelligence Azure Gpu Compute

Apply Now

Job Description

Molex is looking for a Machine Learning Engineer to build physics-informed surrogate models that help engineering teams move faster. This role focuses on using Azure Machine Learning and Azure GPU compute (ND/NC series) to predict simulation outcomes from design parameters, reducing the need to run every full high-fidelity simulation. You will deploy, monitor, and continuously improve models using uncertainty scoring and retraining as new validation results come in.

What you’ll do

Design and train surrogate models such as neural networks, Gaussian processes, gradient-boosted trees, and GNNs/PINNs using Azure GPU compute.
Apply physics-informed constraints so predictions remain physically valid, not just statistically accurate.
Implement model uncertainty and confidence scoring to determine which designs require full simulation validation, then feed results back into the training cycle.
Deploy and version models through Azure ML endpoints and model registry, with rolling drift monitoring.
Benchmark surrogate model performance against full simulation to quantify speedup and support platform-level optimization.

What you bring

Extensive hands-on production ML experience, including building, training, and deploying models (not just integrating pretrained APIs).
10+ years building ML for physical and engineering systems, including surrogate modeling, physics-informed ML, or scientific ML.
Strong Python skills with PyTorch or TensorFlow.
Working understanding of relevant engineering/physics fundamentals and the simulation data formats for your domain.
Experience with Azure Machine Learning or a similar cloud ML platform.
Familiarity with uncertainty quantification, including Bayesian approaches and ensembling.

Tools and technologies

Azure Machine Learning, Azure GPU compute (ND/NC series), Python, PyTorch, TensorFlow, Azure ML endpoints, model registry, neural networks, Gaussian processes, gradient-boosted trees, GNNs, PINNs, Bayesian approaches, ensembling.

Compensation and location

Austin, TX (onsite) · USD 170,000 - 250,000 per year · 10+ years minimum experience.

Benefits

Medical, dental, and vision
Flexible spending and health savings accounts
Life insurance
ADD
Disability
Retirement
Paid vacation/time off
Educational assistance
May also include infertility assistance
Paid parental leave and adoption assistance

What will put you ahead

Direct experience with industry-standard EM or physics simulation tools
Geometric deep learning for CAD data, including graph neural networks and mesh-based models
Background in RF/high-speed electronics or interconnect design

View full job page →

Today

Django Developer

The Cruise Brothers Warwick, FL

Warwick, FL

Today

$115k+/yr Full time Backend Developer Python Agent Automation

Apply Now

Job Description

The Cruise Brothers is seeking a backend Django (Python) developer to help build and modernize CBAT, the company’s in-house platform. The role focuses on production backend work in Django with PostgreSQL, while supporting integrations across bookings and related business systems.

What You’ll Build

Backend features spanning bookings, commissions, agent management, messaging, and reporting
API endpoints and integrations with external travel systems, including cruise booking engines and vendor feeds
Integrations with payment and SMS providers
Support and extend a hook and automation platform where model events trigger hooks, and hooks drive LLM agents

Backend Ownership and Modernization Approach

You will modernize a mature codebase as an ongoing effort rather than a disruptive rewrite. The work includes improving structure (such as per-model folders), moving query logic onto QuerySets, standardizing around a single mutation primitive per operation, and using CI checks that prevent drift over time.

Own tickets end to end: reproduce, fix, test, and ship
Gradually grow ownership over a specific slice of the platform

Core Requirements

4+ years building production web applications with Python and Django, or comparable experience in a mature framework such as Rails, Laravel, Spring, or ASP.NET with a strong drive to move to Django
Comfort working within a large, established codebase and navigating code you did not write
Solid foundation in relational data modeling and PostgreSQL
Enough front-end capability in HTML, CSS, and JavaScript to complete your own features (a dedicated front-end developer exists, but work should not be blocked)
Documentation-first approach before asking questions, and the ability to verify AI-generated code before shipping

Nice to Have

Experience with payments, accounting systems, travel, telephony/SMS, or systems involving money stored in a database

Technologies

Python, Django, PostgreSQL, Vue
HTML, CSS, JavaScript
QuerySets
LLM agents
Rails, Laravel, Spring, ASP.NET

Compensation

USD 115,000 per year.

Minimum experience: 4 years.

Benefits

Healthcare
Unlimited PTO
401(k) with a 6% company match
Travel perks, as the company is a cruise business

How Team Development Works

Much of the code is written in Claude Code sessions with automated conformity checks
30-way parallel testing, migration linting, and automated review on every pull request
Platform knowledge documented in a system designed to get you productive within your first week
Four developers with direct access to the CTO and leadership team

Location and Work Model

The role is based in Warwick, Rhode Island or Palm Beach Gardens, Florida (hybrid). You will start with a couple of days in the office per week, easing off as you establish yourself, with flexibility on which days.

The team is also open to fully remote candidates for a genuine Django expert.

The development team is in Rhode Island, and Palm Beach Gardens is home to the sales and marketing teams who use what you build daily.

View full job page →

2d ago

Senior Staff Numerical Algorithm Software Engineer

SciTec Boulder, CO

Boulder, CO

2d ago

$127k - $157k/yr Full time Python Senior Data Analysis

Apply Now

Job Description

Join SciTec in Boulder, CO onsite to build and refine low-latency numerical algorithms for remote sensing exploitation and tracking.

Responsibilities

Explore and evaluate new algorithms and analysis approaches for remote sensor data exploitation
Prototype and integrate capabilities for Kalman filtering, tracking, and data exploitation in a collaborative Agile environment
Develop and tune Kalman filtering, tracking, and data exploitation algorithms using Python and C++
Characterize algorithm and sensor-system quality and performance
Contribute to shared tooling and collaborate with an Agile team
Perform other duties as assigned

Requirements

Bachelor’s degree in the physical sciences, mathematics, engineering, or computer science
At least 5 years of ongoing professional experience in technological fields (additional years of education may substitute for years of experience)
Experience with state estimation, tracking, or Guidance, Navigation, and Control (GNC)
2+ years of academic or professional experience in C++ and Python
Fluency with Linux operating systems
Detail oriented
Strong oral and written communication skills
Ability to work full-time in-person in the Boulder, CO office location

Technologies

Python
C++
Linux
Kalman filtering

Preferred Qualifications

Current active DoD security clearance
Advanced degree in the physical sciences, mathematics, engineering, or computer science
Professional experience with application orchestration and/or deployment to the cloud
Professional experience with Agile software development
Professional experience with exploitation and analysis of OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data
Note: Resumes, Cover Letters, and Applications generated by AI will not be considered for employment

Compensation

Pay range: USD 127,000 - 157,000 per year
SciTec considers factors including role responsibilities, candidate experience, and education/training when extending an offer of employment
This is not a guarantee of compensation

Benefits

4% Safe Harbor 401(k) match
100% company paid HSA Medical insurance, with a choice of 2 buy-up options
80% company paid Dental insurance
100% company paid Vision insurance
100% company paid Life insurance
100% company paid Long-term Disability insurance
100% company paid Hospital Indemnity insurance
Voluntary Accident and Critical Illness insurance
Short-term Disability insurance
Annual Profit-Sharing Plan
Discretionary Performance Bonus
Paid Parental Leave
Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
Flexible Work Hours

U.S. Citizenship and Security Clearance Notice

SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees
SciTec cannot sponsor or assume sponsorship of employee work visas of any type
U.S. citizenship is a requirement to obtain and keep a security clearance
Applicants that do not meet these requirements will not be considered

Colorado Residents Notice

In any materials you submit, you may redact or remove age-identifying information such as age and date of birth
You will not be penalized for redacting or removing this information

View full job page →

4d ago

Machine Learning Engineer

Molex Lisle, IL

Lisle, IL

4d ago

$170k - $250k/yr Full time Python Artificial Intelligence Azure Gpu Compute

Apply Now

Job Description

Molex is building an engineering optimization workflow that replaces slow simulation loops with physics-aware machine learning. In this role, you will develop physics-informed surrogate models on Azure Machine Learning, turning design parameters into simulation-ready predictions in milliseconds so teams can pre-screen candidate designs faster. You will also deploy, version, and continuously evaluate these models in production alongside data science and MLOps partners.

Location: Lisle, IL 60532 (onsite)
Compensation: USD 170,000 - 250,000 per yearly
Experience: 10+ years

What You’ll Do

Design and train surrogate models using neural networks, Gaussian processes, gradient-boosted trees, and GNNs/PINNs.
Run model training on Azure GPU compute (ND/NC series).
Incorporate physics-informed constraints so predictions remain physically valid rather than only statistically well-fit.
Create model-uncertainty and confidence scoring to identify which designs require full simulation validation, then use new validation results to retrain.
Deploy and manage model lifecycle using Azure ML endpoints and model registry, including rolling drift monitoring.
Benchmark surrogate performance against full-simulation speedup to inform platform-level performance tuning.

Requirements

Extensive hands-on experience building, training, and deploying ML models in production, not only consuming pretrained APIs.
10+ years building ML for physical or engineering systems, including surrogate modeling, physics-informed ML, or scientific ML.
Strong Python experience with PyTorch or TensorFlow.
Understanding of relevant engineering/physics fundamentals and the simulation data formats for your domain.
Experience with Azure Machine Learning or a similar cloud ML platform.
Familiarity with uncertainty quantification, including Bayesian approaches and ensembling.

Technologies

Azure Machine Learning
Azure GPU compute (ND/NC series)
Python
PyTorch, TensorFlow
Azure ML endpoints, model registry
Neural networks, Gaussian processes, gradient-boosted trees
GNNs, PINNs
Bayesian approaches, ensembling
GPU-heavy training

Benefits

Medical
Dental
Vision
Flexible spending and health savings accounts
Life insurance
ADD
Disability
Retirement
Paid vacation/time off
Educational assistance
May also include infertility assistance
Paid parental leave
Adoption assistance

Who Will Put You Ahead

Direct experience with industry-standard EM or physics simulation tools.
Geometric deep learning experience, including graph neural networks and mesh-based models for CAD data.
Background in RF/high-speed electronics or interconnect design.

View full job page →

4d ago

Full Stack Developer — Backend and Data Platform Focus

Advanced Management USA LLC Remote 🌍 Remote

Remote

4d ago

$70k+/yr Full time Backend Developer Python APIs

Apply Now

Job Description

This is a hands-on individual-contributor position centered on backend engineering for a Python and SQL data platform that powers patient care-gap work for accountable care organizations and payors. Work is primarily in the data pipeline and database layers, with frontend and browser-extension tasks treated as secondary.

Role Overview

The platform reads CMS assignment files, Part A and Part B claims, Medicare eligibility data, and live hospital ADT and FHIR feeds from BigQuery. Scheduled Databricks jobs generate and manage patient care-gap items, and results are written to a PostgreSQL (Neon) database. A Next.js application and a Manifest V3 Chrome extension use the data for downstream workflows.

Correctness and auditability are core priorities. Records are append-only and fully audited, and automated runs must not overwrite work already completed by a human. Join correctness directly affects which patients are targeted, so engineering judgment focuses on blast radius, idempotency, and proof of what each script changes.

Responsibilities

Own the opportunity-generation pipeline.
Extend and operate a Python pipeline that transforms Medicare claims, eligibility data, and hospital ADT feeds into prioritized, workable care-gap items for a portfolio of ACOs and commercial payors.
Write heavy SQL against BigQuery, including correct large-scale joins and aggregation.
Query and tune multi-million-row datasets, including assignment files, Part A and B claims and line items, eligibility responses, FHIR encounter and ADT feeds, plus deduplication and late-arriving-data handling.
Build and run Databricks jobs.
Package pipeline scripts as scheduled jobs (Python script tasks, cluster and dependency configuration, DBFS, secret resolution), and run controlled one-off production jobs for remediation.
Design and migrate PostgreSQL and manage schema, indexing, and query performance on Neon.
Use versioned SQL migrations, staging and historical mirror tables, JSONB metadata columns, read-replica usage for batch reads, and database-enforced immutability.
Ensure generators are idempotent and safe to re-run.
Implement deterministic record IDs, upsert paths that preserve human work, and supersede or carry-forward logic across reporting periods and status lifecycles.
Maintain an append-only audit log behind every state change.
Protect production data through dry-run-then-commit scripts, volume abort thresholds, environment guards, backups, and rollback artifacts, plus remediation that repairs affected rows without destroying history.
Extend automated data-quality monitoring with invariant and drift checks on live production data, alerting, and anomaly investigation through written root cause documentation.
Test pipeline logic with pytest, ephemeral PostgreSQL fixtures, frozen clocks, and pre-commit gates to prevent regressions in nightly runs.
Publish and defend data contracts by documenting record contents and field-level constraints so the application team can build against them, coordinating breaking changes across repositories.
Move into application-layer work when needed, including Next.js, React, and TypeScript surfaces, REST APIs with role-based access control and HIPAA-compliant audit logging, Firebase Cloud Functions and other serverless services, and the Manifest V3 Chrome extension integrating with web-based EHR systems.
Debug end-to-end by tracing incorrect application outputs back through PostgreSQL, the generator that produced the records, the Databricks run source, and upstream BigQuery feeds.
Collaborate across a small team and two repositories, including code review and coordination with application and clinical-operations stakeholders on data needs.
Handle Protected Health Information responsibly with attention to performance, reliability, scalability, and security across every layer.

Required Qualifications

4+ years of professional software development experience.
Strong Python for production data work, including pandas, with scheduled batch jobs and command-line tools (not notebook-only experience).
Advanced SQL including CTEs, window functions, large multi-table joins, aggregation correctness, and query optimization on large datasets.
Strong PostgreSQL skills: schema design, indexing, EXPLAIN-driven tuning, transactions, upserts, and JSONB.
Experience writing and applying SQL migrations against a live production PostgreSQL database.
Experience with a cloud data warehouse, with BigQuery strongly preferred, including partitioning and query cost/performance awareness.
Experience building and operating scheduled data pipelines, including idempotent re-runs, backfills, duplicate and late-arriving sources, and reconciliation between systems.
Experience with Databricks or Spark, including jobs, clusters, dependency management, secrets, and DBFS, or a comparable managed job platform.
Operational judgment with production data: dry runs, blast-radius estimates, auditability, and rollback planning before writing changes.
Ability to debug complex issues across warehouse, batch jobs, databases, and application components.
Working ability in TypeScript with React and Next.js to ship frontend or API changes when required.
Experience designing and building REST APIs.
Comfort with Git and pull-request workflows, including giving and receiving code review.
Clear written communication to explain data defects, causes, and fixes in actionable documentation.
Strong problem-solving skills and attention to detail.

Technology Stack

Python, SQL, pandas
Databricks, BigQuery, Spark
PostgreSQL, Neon, JSONB
Next.js, React, TypeScript
Chrome extension (Manifest V3)
FHIR
REST APIs
Firebase Cloud Functions, serverless services
pytest, Git

Role Level

This is a hands-on individual-contributor role and is not suited for entry level or new graduate candidates.

Location and Compensation

Location: Remote
Salary: USD 70,000 per year
Minimum Experience: 4 years

Benefits

401(k) 6% Match
Bereavement leave
Dental insurance
Family leave
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid parental leave
Parental leave
Vision insurance
401(k) matching
Employee discount
Paid time off
Professional development assistance
Referral program
Tuition reimbursement

Nice to Have

Healthcare data experience: CMS Part A and Part B claims, Medicare beneficiary identifiers (MBI), HL7 v2 ADT feeds, FHIR, or eligibility services such as HETS.
Value-based care domain knowledge: MSSP or ACO programs, risk adjustment and HCC coding, Annual Wellness Visits, transitional care management, or quality measures.
Experience with healthcare technology, including EHR integrations (eClinicalWorks, Athena, Epic, or similar).
Experience with Firebase Cloud Functions, Firestore, and Google Cloud Platform (IAM, service accounts, Secret Manager).
Experience with Prisma ORM.
Experience developing Chrome Extensions using Manifest V3.
Data quality and observability work: anomaly detection, invariant checks, drift monitoring, and alerting.
Experience integrating LLMs such as Claude, OpenAI, or Gemini.
Experience building speech to text or AI powered workflows.
Experience building internal operator tooling for running, configuring, and monitoring pipeline jobs.
Familiarity with modern Python tooling (uv, pytest plugins, pre-commit hook managers) and multi-package repositories.
Familiarity with Rust for performance-sensitive components, browser tooling, or systems programming.
Familiarity with HIPAA compliance and secure handling of healthcare data.

Application Questions

Have you worked on software handling PHI or in a HIPAA-regulated environment?
Describe a production data pipeline you owned end to end: the data sources, the schedule, the volume, and what you did the first time it produced bad data.
What is your hands-on experience with BigQuery or another cloud data warehouse, and with Databricks or Spark?
How comfortable are you writing and applying SQL migrations against a live production PostgreSQL database, and what precautions do you take?

View full job page →

7d ago

Associate Data Engineer (Python / Azure)

Huxley Charlotte, NC

Charlotte, NC

7d ago

$100k - $100k/yr Full time Backend Developer Python Azure

Apply Now

Job Description

This early-career Associate Data Engineer role in Charlotte, NC supports financial crime analytics within the Anti-Money Laundering (AML) domain. You will design, build, and deliver data-driven solutions using the Quantexa platform in an agile delivery environment.

Responsibilities

Partner with business stakeholders and product owners to clarify requirements, define acceptance criteria, and convert use cases into user stories and business rules.
Review source systems and enterprise datasets to establish data mappings, transformation logic, and data quality rules that align with Quantexa standards.
Design, build, and maintain data pipelines and transformations that enable analytics, reporting, and investigative workflows.
Configure and support end-to-end Quantexa solutions, including entity resolution, network modeling, scoring logic, validation, and UI components.
Participate in agile ceremonies, including sprint planning and backlog refinement, to ensure the delivery team clearly understands requirements.
Document data logic, mappings, and solution design to support transparency, auditability, and effective knowledge transfer.
Detect data inconsistencies, inefficiencies, or reliability risks and propose improvements to enhance solution performance.
Contribute to unit testing and validation to confirm solutions meet defined business and technical standards.

Requirements

Working knowledge of Python or Java and relational data models.
Experience with cloud platforms including Azure and Databricks.
Experience with developer tools including Git, JIRA, and Confluence.
Location: Charlotte, North Carolina (onsite/hybrid as determined by the client).
Experience level: Early-career / junior-level data engineer.
Domain focus: Financial Crime Analytics, primarily Anti-Money Laundering (AML).
Platform: Quantexa, including entity resolution, network analytics, and risk scoring.
Employment type: Full-time.
Methodology: Agile, including sprint planning and backlog refinement with iterative delivery.

Core Skills and What You Will Apply

Stakeholder collaboration: Translate business needs into acceptance criteria, user stories, and business rules.
Data analysis and mapping: Define mappings and transformation logic, along with data quality rules aligned to Quantexa.
Pipeline development: Build and maintain pipelines supporting analytics, reporting, and investigation workflows.
Quantexa configuration: Support entity resolution, network modeling, scoring logic, validation, and UI components.
Documentation: Maintain clear records of data logic, mappings, and solution design.
Data quality improvement: Identify issues impacting performance and recommend changes.
Testing support: Help validate solutions through unit testing and checks against business and technical standards.

Technologies

Python, Java
Azure, Databricks
Git
JIRA
Confluence

Role Details

Location: Charlotte, NC (hybrid/onsite as determined by client)
Salary: USD 100,000 per year
Domain: Financial Crime Analytics (AML)
Platform: Quantexa (entity resolution, network analytics, risk scoring)
Engagement: Full-time
Delivery approach: Agile (sprint planning, backlog refinement, iterative delivery)