AI Machine Learning Engineer
Welocalize
- Location
- Romania
- Posted
Develop machine learning solutions for localization and business workflow processes using Python and AWS services.
Remote Jobs
Senior Fullstack Engineer - Metamask (Portfolio)
Consensys
- Location
- Brazil
- Posted
Fullstack Engineer for MetaMask Portfolio product with 3+ years of experience in Ethereum ecosystem, web development, and back-end development.
Data Intern - Data & Analytics Eng - Summer 2025
1Password
- Location
- Canada
- Posted
Data engineering intern at 1Password, working remotely in Canada
Salesforce Engineer
Canonical
- Location
- Cameroon
- Posted
Business Systems Engineer with Salesforce experience required for Canonical's EMEA region team
Regional Communications Lead
- Location
- United Kingdom
- Posted
Regional Communications Lead at Reddit: Develop and execute global comms strategies for new and existing users
Staff Security Software Engineer
Lime
- Location
- Canada
- Posted
Join Lime's Security team as a Staff Security Software Engineer and contribute to building impactful security solutions for the company's electric bike and scooter services.
Lead Engineer
Xero
- Location
- United Kingdom
- Posted
- Salary Range
- 120k - 150k USD
Join Xero as a Senior Software Engineer to develop innovative solutions using C#, React, and AWS. Lead teams, mentor engineers, and contribute to high-quality software products while enjoying excellent benefits like private medical insurance and flexible work arrangements.
Senior/Staff Data Engineer
StackAdapt
- Location
- United States of America
- Posted
Join StackAdapt as a Senior/Staff Data Engineer to build scalable ML pipelines, implement algorithms, and contribute to innovative advertising solutions in a collaborative environment with excellent benefits.
Senior/Staff Data Engineer
StackAdapt
- Location
- Canada
- Posted
Join StackAdapt as a Senior/Staff Data Engineer to design scalable data pipelines, implement ML algorithms, and contribute to microservice architectures for thousands of models. Enjoy competitive benefits and a supportive team environment.
AI Data Annotation Specialist – Arabic (Egyptian & MSA dialect) & Arabizi
Welocalize
- Location
- Egypt
- Posted
AI Data Annotation Specialist - Arabic (Egyptian & MSA dialect) & Arabizi
Design Engineer (Senior / Staff / Principal)
Monarch Money
- Location
- United States of America
- Posted
- Salary Range
- 160k - 220k USD
Design Engineer at Monarch: Create polished user experiences across desktop and mobile platforms
QA Linguist – Levantine Arabic (Lebanon) & Arabizi | AI Data Annotation
Welocalize
- Location
- Lebanon
- Posted
Freelance QA Linguist for data annotation project in Lebanese Arabic & Arabizi
QA Linguist – Levantine Arabic (Jordan) & Arabizi | AI Data Annotation
Welocalize
- Location
- Jordan
- Posted
Freelance QA Linguist needed for data annotation project in Levantine Arabic & Arabizi
QA Linguist – Arabic (Najdi dialect) & Arabizi | AI Data Annotation
Welocalize
- Location
- Saudi Arabia
- Posted
Freelance QA Linguist needed for data annotation project with flexible hours & remote work options
QA Linguist – Arabic (Syrian dialect) & Arabizi | AI Data Annotation
Welocalize
- Location
- Lebanon
- Posted
Freelance QA Linguist needed for data annotation project with Welo Data - AI Services
Staff Software Engineer, DevOps
Conga
- Location
- Canada
- Posted
Join Conga as a Staff DevOps Software Engineer and collaborate with a talented team to enhance products and development experience. Apply for this remote role in Canada.
Senior/Staff DevOps Engineer
Binance
- Location
- Brunei Darussalam
- Posted
Senior DevOps Engineer for cloud-based micro-service infrastructure, automating operational activities and providing on-call support.
Senior/Staff DevOps Engineer
Binance
- Location
- Brunei Darussalam
- Posted
Senior DevOps/DevOps Architect needed for large-scale infrastructure management at Binance
Session Lead (External Contractor) - AI Product Managers Nanodegree (Oman)
Udacity
- Location
- Oman
- Posted
Join Udacity as a Session Lead for their AI Product Managers Nanodegree program in Oman, providing technical support to students and contributing to a diverse and inclusive community.
Transaction Monitoring Analyst
Binance
- Location
- Lithuania
- Posted
Transaction Monitoring Analyst at Binance: Investigate customer activities, assess profiles, and conduct transaction monitoring investigations using blockchain analytics tools.
AI Machine Learning Engineer
Welocalize
Job Summary
As a Machine Learning Engineer at Welocalize, you will design, develop, and implement machine learning solutions to serve the organization. Your responsibilities include working on machine learning model implementation, maintaining code quality, collaborating with cross-functional teams, and taking ownership of key projects from definition to delivery. You should have a solid understanding of machine learning concepts, proficiency in Python, and experience with natural language processing techniques and tools. Additionally, you will be expected to collaborate in an international environment and within a distributed team, applying analytical skills and business acumen to drive success. With 3+ years of experience as a Machine Learning Engineer or similar role, you will contribute to developing models that are accurate, efficient, and aligned with project requirements. You will also have the opportunity to work on various projects, including machine translation and quality assurance, and implement existing solutions using AWS services, Docker, MLFlow, and other technologies. Welocalize is a global transformation partner that accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. As part of our team, you will have flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. Apply now and help us shape the future of AI!
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
MAIN PURPOSE OF ROLE
The Machine Learning Engineer role is responsible for the design, development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and other. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.
MAIN DUTIES
- The following is a non-exhaustive list of responsibilities and areas of ownership of the Machine Learning Engineer:
- Machine learning model implementation: Work on the development and deployment of machine learning models for localization and business workflow processes, including machine translation and quality assurance. Implement existing solutions and ensure that models meet performance metrics.
- Maintain code quality: Write well-documented, efficient, and clean Python code following best practices and under the guidance of senior engineers.
- Collaborate on machine learning projects: Collaborate with cross-functional teams to implement solutions based on defined designs. Assist in understanding business requirements and contribute to discussions with technical teams. Support clear communication of technical progress to team members.
- Model Implementation and Development: Contribute to developing models that are accurate, efficient, and aligned with project requirements by implementing existing designs and methods.
- Team Collaboration: Work closely team members, actively participating in project discussions and contributing to successful outcomes through effective teamwork.
- Commitment to Learning: Show dedication to continuous learning, staying updated with new techniques, and applying them under guidance to improve models and processes.
- Clear Communication: Support clear communication within the team by sharing findings, challenges, and insights in a way that ensures understanding among peers and stakeholders
- Take ownership of key projects from definition to delivery, ensuring that they meet technical requirements and maintain momentum and direction until delivery
- Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
- Propose solutions and strategies to tackle business challenges
REQUIREMENTS
- Education
- Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, Data Science or similar discipline (or equivalent experience)
- Technical Skills and Experience
- 3+ years experience as a Machine Learning Engineer or similar role
- Essentials
- Solid understanding of machine learning concepts: Knowledge of supervised and unsupervised learning, deep learning, and classification techniques. Eager to learn and build on foundational knowledge.
- Hands-on experience with natural language processing (NLP) techniques and tools.
- Proficiency in Python: Ability to write clean, well-structured code following best practices.
- Good communication and documentation skills: Ability to explain technical work clearly to peers and team members, with focus on communicating with non-technical stakeholders.
- Nice to have
- Experience using Large Language Models in production.
- Proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Experience with AWS technologies including EC2, S3, and other deployment strategies. Experience with SNS, Sagemaker a plus.
- Knowledge of ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc.
- Experience with data visualization tools like matplotlib, bokeh, d3.js
- Analytical mind and business acumen
- Ability to collaborate in an international environment and within a distributed team
