ML-инженер (ML Engineer / Data Scientist)

Компания "GuardinAI, Inc"

Junior/Middle Machine Learning (ML) Engineer

Location: Kazakhstan, Kyrgyzstan (Remote work options available)

Company Overview:

Join us at GuardinAI, a pioneering AI firm dedicated to revolutionizing Trust & Safety in digital spaces. We leverage advanced Large Language Models (LLM) and Machine Learning (ML) technologies to provide robust web-application solutions for B2B clients. Our platform enables clients to seamlessly integrate via UI or API to receive content moderation services, ensuring their digital environments are free from abusive content.

Job Description:

We are seeking a talented ML Developer to join our dynamic team. This role requires a blend of ML ops and development skills, contributing to the development and optimization of our AI solutions for content moderation. The ideal candidate will be adept in managing and improving AI models to meet the evolving needs of our global clients.

Responsibilities:

• Guide the technical scoping and requirements-gathering of machine learning projects from research and development to production deployment.

• Lead the end-to-end execution of machine learning projects, collaborating with data scientists as necessary.

• Build dataset creation, model training, and evaluation tools in an AWS environment.

• Implement and maintain the build and deploy systems for production-critical data science services.

• Work closely with our business stakeholders, engineering and product team, and our clients to design and develop new algorithms and services. Examples include but are not limited to: text classification, sentiment identification, image and multimodal classification.

Qualifications:

• You hold a BA/BS or higher degree in Computer Science, Mathematics, Statistics, Data Science, Artificial Intelligence or an Engineering-related discipline.

• 1-2+ years of experience developing and deploying product-quality code.

• 1-2+ years of experience with NLP techniques and models for text analysis, sentiment analysis, language understanding, and generation.

• Deep experience with Python and SQL.

• Past experience of using TensorFlow and PyTorch is ideal.

• You have proficiency in deep learning frameworks, and experience with deep neural networks for complex problem-solving.

• You have experience with cloud-based machine learning services and platforms (e.g., AWS SageMaker, Google AI Platform) for model development and deployment.