AI Machine Learning Engineer
Welocalize
- Location
- Greece
- Posted
Machine Learning Engineer for localization and business workflow processes using AWS services and Docker
Remote Jobs
AI Machine Learning Engineer
Welocalize
- Location
- Spain
- Posted
Develop and implement machine learning models for localization and business workflow processes using Python and AWS services.
Machine Learning Engineer
Coursera
- Location
- India
- Posted
Join Coursera's Machine Learning team and contribute to creating personalized learning experiences through AI-powered technologies.
Senior Machine Learning Engineer - Ai
Wasabi Technologies
- Location
- United States of America
- Posted
Senior Machine Learning Engineer for AI/ML product Wasabi AiR, driving advancements in AI, computer vision, and NLP, with a focus on scalability and reliability.
Machine Learning Engineer - AI Decisioning
Hightouch
- Location
- British Virgin Islands
- Posted
- Salary Range
- 200k - 260k USD
Build an intelligence layer using machine learning to help companies personalize messages, automate experiments, predict customer behavior, and optimize marketing spend. Collaborate on various ML projects and infrastructure at Hightouch.
Lead Machine Learning Engineer
hims & hers
- Location
- United States of America
- Posted
- Salary Range
- 190k - 230k USD
Lead Machine Learning Engineer with 10+ years of experience in Engineering and/or Machine Learning
Lead Machine Learning Engineer
Superside
- Location
- Cameroon
- Posted
Lead Machine Learning Engineer for scalable data pipelines and AI integration at Superside
Staff Machine Learning Engineer
MyFitnessPal
- Location
- United States of America
- Posted
- Salary Range
- 170k - 215k USD
Lead the technical implementation of AI products at MyFitnessPal, mentor teams, and design scalable ML systems to enhance user engagement and improve product quality using recommendation systems, search features, NLP, LLMs, and deep learning.
Machine Learning Engineer – Generative AI & NLP Specialist
Welocalize
- Location
- United Kingdom
- Posted
Generative AI & NLP Specialist needed to design and develop cutting-edge AI-driven systems, enhancing translation systems using advanced NLP techniques and GenAI.
Principal Machine Learning Engineer
Twilio
- Location
- Colombia
- Posted
As a Principal Machine Learning Engineer at Twilio, you will leverage AI and machine learning to drive innovation and efficiency across our services. Collaborate with cross-functional teams to develop cutting-edge solutions using Python, SQL, R, AWS, and other tools.
Machine Learning Scientist
Coursera
- Location
- India
- Posted
Join Coursera's Discovery Science ML team to develop personalized search and recommender systems
Machine Learning Engineer - Personalization
Spotify
- Location
- United States of America
- Posted
- Salary Range
- 137k - 196k USD
ML Engineer at Spotify: Develop AI solutions for music & podcast recs, collaborate with cross-functional teams, and drive optimization.
Machine Learning Lead
Loka, Inc
- Location
- Macedonia, Republic of
- Posted
Machine Learning Team Lead for scalable ML models, data exploration, model development, deployment, and scaling in production environments.
Senior Machine Learning Engineer
reserv
- Location
- United States of America
- Posted
Senior Machine Learning Engineer at Reserv, developing AI models and machine learning solutions for insurtech company
Senior Machine Learning Engineer
CAST AI
- Location
- Croatia
- Posted
- Salary Range
- 78k - 108k EUR
Design and deploy sophisticated data models at CAST AI, leveraging cloud-native technologies and contributing to machine learning operations. Collaborate with cross-functional teams and stay ahead of industry trends while enjoying benefits like flexible work hours and company equity.
Senior Machine Learning Engineer
Apollo.io
- Location
- India
- Posted
Build and productionize Machine Learning models for Apollo products like Search and Recommendations. Leverage data to predict user behaviors and optimize their experience. Improve ML stack and maintain scalable data pipelines.
Senior Machine Learning Engineer
Kueski
- Location
- Mexico
- Posted
Design and build scalable pipelines for data preparation and automate machine learning models
Senior Machine Learning Engineer
Invisible Technologies
- Location
- British Virgin Islands
- Posted
Senior Machine Learning Engineer at Invisible Technologies: Build robust backend systems, optimize cloud infrastructure, and collaborate on advanced ML technologies.
Senior Machine Learning Engineer
Entefy
- Location
- United States of America
- Posted
Senior Machine Learning Engineer at Entefy: Unstructured data classification & clustering expertise required.
AI Machine Learning Engineer
Welocalize
Job Location
Job Summary
Welocalize is seeking a Machine Learning Engineer to design, develop, and implement data-driven solutions. The role involves ownership of projects from conception to deployment, utilizing AWS services, Docker, MLFlow, and other tools. Responsibilities include machine learning model implementation, maintaining code quality, collaborating with cross-functional teams, and contributing to continuous learning. The ideal candidate has a solid understanding of machine learning concepts, hands-on experience with NLP techniques, proficiency in Python, and good communication skills. Experience with AWS technologies, Large Language Models, and ML management tools is also desirable.
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 data-driven 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, Mathematics, Machine Learning, 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
