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Machine Learning Engineer

Machine Learning Engineer

We are looking for a passionate, high-energy, and proactive Machine Learning Engineer with proven previous experience in NLP and Computer Vision to enhance our Client’s Machine Learning/Deep Learning team. The team works on the AI platform which provides modern enterprises with solutions for processing large and complex documents.

The Client is a prominent intelligent automation software company that aims to make AI accessible for enterprises to streamline document-centric business processes. They work with a seasoned team of AI experts, comprising scientists, researchers, and engineers, to help companies address their organizational business challenges.

Join our team of experts as a Machine Learning Engineer.

Requirements

Minimum 3 years of experience with Python and libraries such as Pandas, scikit-learn, PyTorch, Hugging Face, MMDetection, and MMClassification.
Knowledge of NLP, Computer Vision, and document information extraction.
Proven experience with data analysis, wrangling, and transformation.
Demonstrated experience in building, training, and optimizing deep learning models to resolve NLP task such as Token Classification and Text Classification using the Hugging Face library.
Demonstrated experience in training Computer Vision models for Image Classification, Object Detection and Segmentation.
Understanding of key machine learning concepts and metrics, such as F-measure.
Proficiency in using Google Colab and Weights & Biases for building and tracking ML experiments.
Familiarity with Git for version control.
Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively.

Responsibilities

Models Building: Build, develop, and scale machine learning models that meet business and technical requirements.
Technical Advisory: Serve as the go-to technical expert in machine learning for both internal and client-facing presentations.
Code Review and Quality Assurance: Ensure that code and models meet quality and performance standards.
Project Management: Lead end-to-end machine learning projects involving client interactions, requirements gathering, timeline estimations and derivables.
Client Relationship Management: Maintain and enhance relationships with clients by providing excellent service and understanding client needs for machine learning applications.
Requirements Analysis: Collaborate with clients to understand business requirements and translate them into technical specifications.

We offer

Work with the team of highly skilled and experienced specialists who share their knowledge and welcome initiative with enthusiasm.
Competitive salary and extensive corporate life.
Medical insurance and private healthcare.
Flexible timesheet (we are a 100% remote-friendly company).
Minimum bureaucracy – we’re people-first.

We treat all candidates equally and strongly support diversity and inclusivity across all our departments, teams, and positions. Therefore, we encourage all qualified and eligible candidates to apply regardless of gender, age, race, ethnicity, religious belief, or physical ability. We stand for equal opportunities for all our team members and support their pursuit of professional and personal growth.

Benefits

Remote work
Medical insurance
Well-established processes
Team building
Work-life balance
Education
Up-to-date hardware
Long-term project

I am not interested

Machine Learning Engineer

Join our team of experts as a Machine Learning Engineer.

Minimum 3 years of experience with Python and libraries such as Pandas, scikit-learn, PyTorch, Hugging Face, MMDetection, and MMClassification.

Knowledge of NLP, Computer Vision, and document information extraction.

Proven experience with data analysis, wrangling, and transformation.

Demonstrated experience in building, training, and optimizing deep learning models to resolve NLP task such as Token Classification and Text Classification using the Hugging Face library.

Demonstrated experience in training Computer Vision models for Image Classification, Object Detection and Segmentation.

Understanding of key machine learning concepts and metrics, such as F-measure.

Proficiency in using Google Colab and Weights & Biases for building and tracking ML experiments.

Familiarity with Git for version control.

Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively.

Models Building: Build, develop, and scale machine learning models that meet business and technical requirements.

Technical Advisory: Serve as the go-to technical expert in machine learning for both internal and client-facing presentations.

Code Review and Quality Assurance: Ensure that code and models meet quality and performance standards.

Project Management: Lead end-to-end machine learning projects involving client interactions, requirements gathering, timeline estimations and derivables.

Client Relationship Management: Maintain and enhance relationships with clients by providing excellent service and understanding client needs for machine learning applications.

Requirements Analysis: Collaborate with clients to understand business requirements and translate them into technical specifications.

Work with the team of highly skilled and experienced specialists who share their knowledge and welcome initiative with enthusiasm.

Competitive salary and extensive corporate life.

Medical insurance and private healthcare.

Flexible timesheet (we are a 100% remote-friendly company).

Minimum bureaucracy – we’re people-first.

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