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AI Machine Learning Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Greece

Offer summary

Qualifications:

Bachelor's or Master's in Computer Science, Mathematics or related field, 3+ years experience as Machine Learning Engineer, Highly proficient in Python, Strong knowledge of machine learning techniques, Experience with NLP and data viz tools.

Key responsabilities:

Design and develop machine learning models
Take ownership of key projects from definition to delivery
Evaluate and select appropriate algorithms for problems
Implement and optimize machine learning technologies
Document ML experimentation and communicate findings

Welo Data Talent Information Technology & Services Large https://welodata.ai/

1001 - 5000 Employees

See more Welo Data Talent offers

Job description

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 delivery with a focus on advanced analytics, statistical modeling, and data visualization. The role also includes responsibility for following best practices 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:

Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM finetuning, and quality assurance

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

Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks

Perform statistical analysis and fine-tuning using test results

Keep abreast of developments in the field, with a dedication to learning in the role

Document diligently and communicate thoughtfully about ML experimentation, design, and deployment

Define and design solutions to machine learning problems. Integration with larger systems done with guidance of more senior team members

Communicate with stakeholders and present findings in a clear manner

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

Highly proficient in Python

Excellent communication and documentation skills

Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning

Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn

Strong background and proven experience in natural language processing (NLP)

Analytical mind and business acumen

Experience with data visualization tools like matplotlib, bokeh, d3.js

Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders

Experience taking ownership of projects from conception to deployment, and mentoring more junior team members