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NumPy Developer Jobs

3 jobs found

24d ago

Machine Learning Engineer II

Milwaukee Electric Tool Corporation Brookfield, WI

Brookfield, WI

24d ago

Full time Python AI Ai Ml

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Job Description

In Brookfield, Wisconsin, Milwaukee Electric Tool Corporation is expanding its machine learning capabilities to power intelligent features across its power tool lineup on a global scale. The Machine Learning Engineer II will design, validate, and refine models for power tool solutions, collaborate with cross-functional teams to deploy ML across Milwaukee products worldwide, and own projects with strong problem-solving, communication, and project-management skills.

Responsibilities

Create, advance, and validate machine learning models.
Collaborate with diverse cross-functional teams to deliver power tool solutions that impact users.
Explore and deploy new machine learning approaches within Milwaukee products worldwide, while demonstrating strong problem-solving, critical thinking, and the ability to thrive under pressure in a dynamic environment.
Maintain strong technical communication and foundational project management capabilities.
Show initiative and ownership for projects and tasks, understanding how they connect to broader initiatives.

Requirements

Completed coursework or specialization in machine learning and/or data science.
At least one year of hands-on experience applying machine learning principles and algorithms in contexts such as embedded systems, edge computing, or signal processing.
Proven experience applying core machine learning algorithms and techniques outside coursework, including unsupervised or supervised learning, classification/regression, dimensionality reduction, and model optimization.
Experience with machine learning and AI methods such as CNNS, transformers, or computer vision.
Proficient in developing and debugging code in Python.
Strong Python proficiency with extensive experience using libraries such as NumPy, pandas, scikit-learn, and Matplotlib.
Experience with at least one deep learning framework (e.g., PyTorch or Tensor Flow).
Solid foundation in statistics, linear algebra, calculus, and optimization.
Experience with modern software development workflows and version control tools.
Excellent problem-solving and critical-thinking abilities, with the ability to work well under pressure in a dynamic environment.
Strong technical communication skills and foundational project management abilities.
Proven ownership of projects or tasks and understanding of their relationships to other work.
Ability to travel up to 10 percent of the time (domestic and international).

Technologies

Python
NumPy
pandas
scikit-learn
Matplotlib
CNNS
transformers
computer vision
PyTorch
Tensor Flow
C
C++

Benefits

Health, dental and vision insurance
401(k) savings plan
Education assistance
On-site wellness, fitness center, food, and coffee service

Other Tools We Prefer You To Have

Master’s degree or PhD in Machine Learning or related field is preferred
At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
Experience developing and deploying machine learning algorithms to edge environments
Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models

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1mo ago

Python Data Engineer

Glint Tech Solutions LLC Plano, TX

Plano, TX

1mo ago Closed

Full time Python Amazon Web Services Apache Airflow

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

Glint Tech Solutions LLC is hiring a Python Data Engineer to support a telecommunications technology client from its Plano, Texas on-site office. The role centers on building scalable data pipelines and data models, with a strong emphasis on Palantir Foundry and Gotham to enable enterprise-scale data engineering initiatives. Collaboration with cross-functional teams helps ensure data quality, governance, and performance across large data workloads.

Responsibilities

Design and optimize scalable ETL and ELT data pipelines
Create data models and orchestrate data workflows
Maintain data quality, validation processes, and performance tuning
Ingest and integrate data from multiple enterprise sources

Requirements

Proven Python development experience focusing on ETL, automation, and data processing
Hands-on experience with Palantir Foundry and Gotham
Proficiency with PySpark, Pandas, and NumPy
SQL skills with PostgreSQL or MySQL and experience with MongoDB
Experience with Airflow or similar workflow orchestration tools
Cloud platform experience on AWS, Azure, or GCP
Understanding of Spark, Hadoop, S3, HDFS, and data warehousing concepts

Technologies

Python
Palantir Foundry / Gotham
PySpark
Pandas
NumPy
SQL (PostgreSQL, MySQL)
MongoDB
Airflow
AWS
Azure
GCP
Spark
Hadoop
S3
HDFS
Data warehousing concepts

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3mo ago

Python and Database Developer, Assistant Vice President

Citi New York, NY

New York, NY

3mo ago Closed

$121k - $182k/yr Full time Backend Developer Python Apache Airflow

This position is no longer accepting applications (closed Jun 26, 2026).

Job Description

The Python and Database Developer, Assistant Vice President at Citi contributes to building scalable data pipelines, web applications, and database integrations using Python and SQL/ORM technologies. The role emphasizes strong Python expertise, database proficiency, and experience with cloud deployment and data governance.

Location

New York, NY (hybrid)

Compensation

USD 121,200 - 181,800 per year

Responsibilities

Lead the design and development of data pipelines to ingest, transform, and load data from databases, APIs, and streaming sources into the data warehouse or data lake, ensuring reliable data flow and accessibility.
Develop data models that align with business requirements and analytical needs.
Optimize data models for fast query performance and straightforward data access.
Write efficient, maintainable SQL queries and leverage SQLAlchemy for database interaction to sustain high performance and data accuracy.
Implement robust data quality checks and monitoring to safeguard data integrity and proactively resolve issues.
Contribute to the design and implementation of data governance policies and procedures to meet regulatory and internal standards.
Pursue technology innovations to enhance the efficiency, scalability, and resilience of the data platform.
Own the deployment and monitoring of data pipelines and related infrastructure on cloud platforms such as OpenShift, ECS, or Kubernetes, ensuring reliability and performance.
Be prepared to work non-standard shifts, including nights or weekends, and/or provide on-call support for critical data operations.

Requirements

At least 6 years of hands-on experience in a data engineering role.
Experience with data visualization tools to present insights effectively.
Familiarity with agile methodologies and collaboration in agile teams.
Strong Python skills (3.6+) with experience in packaging and libraries such as Pandas and NumPy.
API development experience building REST APIs in Python using microframeworks like Flask.
Extensive experience with relational databases, including writing complex SQL and optimizing queries, plus proficiency with SQLAlchemy or a similar ORM.
Experience with workflow management tools such as Airflow; knowledge of PySpark or PyFlink is a major plus.
Solid understanding of data warehousing concepts, including data modeling and ETL processes for large datasets.
Ability to guide and mentor junior developers and foster a collaborative team environment.
Strong communication skills, both written and verbal, with the ability to explain technical concepts to diverse audiences.
DevOps practices and experience with CI/CD, along with familiarity with tools such as Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.
Knowledge of software engineering principles, including design patterns, coding standards, modularity, and prototyping.
Bachelor's degree in a related field is required.

Technologies

Python
SQLAlchemy
Pandas
NumPy
Flask
OpenShift
ECS
Kubernetes
Airflow
PySpark
PyFlink
Jenkins
TeamCity
SonarQube

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental, and vision coverage
401(k) retirement plan
Life, accident, and disability insurance
Wellness programs
Paid time off including vacation, sick leave, and paid holidays

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NumPy Developer Jobs

Machine Learning Engineer II

Python Data Engineer

Python and Database Developer, Assistant Vice President

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