Machine Learning / AI Engineer
Meta-Sistem S.R.L.
№15188649, 21 februarie 2025
Oraș:
Chișinău
Studii:
Orice
Experiența de munca:
De la 2 ani
Salariu:
Nespecificat
Program de muncă:
Full-time
About Us
We are a forward-thinking company pushing the boundaries of AI with advanced LLMs, product matching, vector databases, embeddings, image processing, text semantics, multi-agent systems, and more. We operate with a lean team - no dedicated data engineers - so you’ll be expected to own the end-to-end data pipeline. Our infrastructure leverages GitLab CI/CD and Kubernetes for streamlined deployments and scaling.
Key Responsibilities
Model Development: Design, train, and deploy machine learning models for image and text similarity, product matching, and other AI initiatives.
Data Pipeline Ownership: Manage data ingestion, cleaning, and transformation processes to ensure data quality without the support of a dedicated data engineering team.
Production Deployment: Utilize GitLab CI/CD pipelines to containerize and deploy models to Kubernetes, ensuring efficient and reliable production workflows.
Performance Optimization: Continuously monitor model performance, troubleshoot issues, and implement improvements for scalability and speed.
Cross-Functional Collaboration: Work with stakeholders to gather requirements and deliver insights that drive strategic decisions and product enhancements.
Required Qualifications
Professional Experience: 2–3 years of hands-on experience as a Machine Learning Engineer, Data Scientist, or similar role.
ML Frameworks & Libraries: Proficiency in Keras or PyTorch, plus experience with scikit-learn.
Programming Skills: Strong Python background with a solid grasp of OOP and best coding practices.
Domain Knowledge: Proven track record in image similarity, NLP (text similarity), and training custom models.
Data Management: Competence in data structures, data modeling, and SQL, with the ability to handle data pipelines end-to-end.
CI/CD and Containerization: Familiarity with GitLab CI/CD, Docker, and Kubernetes for automated workflows and scalable deployments.
Communication: Excellent spoken and written English to articulate complex ideas and collaborate effectively.
Preferred Skills
LLM & Vector Databases: Experience with large language models and vector-based retrieval systems.
Multi-Agent Systems: Exposure to multi-agent architectures and autonomous decision-making frameworks.
Advanced Image Processing: Work with image augmentation, manipulation, and similarity detection at scale.
What We Offer
A collaborative and fast-paced environment that values innovation and end-to-end ownership.
Opportunities to work on high-impact AI projects with cutting-edge technology.
Competitive compensation and benefits package.
Professional growth through challenging projects and continuous learning.
E-mail: job@meta-sistem.md
We are a forward-thinking company pushing the boundaries of AI with advanced LLMs, product matching, vector databases, embeddings, image processing, text semantics, multi-agent systems, and more. We operate with a lean team - no dedicated data engineers - so you’ll be expected to own the end-to-end data pipeline. Our infrastructure leverages GitLab CI/CD and Kubernetes for streamlined deployments and scaling.
Key Responsibilities
Model Development: Design, train, and deploy machine learning models for image and text similarity, product matching, and other AI initiatives.
Data Pipeline Ownership: Manage data ingestion, cleaning, and transformation processes to ensure data quality without the support of a dedicated data engineering team.
Production Deployment: Utilize GitLab CI/CD pipelines to containerize and deploy models to Kubernetes, ensuring efficient and reliable production workflows.
Performance Optimization: Continuously monitor model performance, troubleshoot issues, and implement improvements for scalability and speed.
Cross-Functional Collaboration: Work with stakeholders to gather requirements and deliver insights that drive strategic decisions and product enhancements.
Required Qualifications
Professional Experience: 2–3 years of hands-on experience as a Machine Learning Engineer, Data Scientist, or similar role.
ML Frameworks & Libraries: Proficiency in Keras or PyTorch, plus experience with scikit-learn.
Programming Skills: Strong Python background with a solid grasp of OOP and best coding practices.
Domain Knowledge: Proven track record in image similarity, NLP (text similarity), and training custom models.
Data Management: Competence in data structures, data modeling, and SQL, with the ability to handle data pipelines end-to-end.
CI/CD and Containerization: Familiarity with GitLab CI/CD, Docker, and Kubernetes for automated workflows and scalable deployments.
Communication: Excellent spoken and written English to articulate complex ideas and collaborate effectively.
Preferred Skills
LLM & Vector Databases: Experience with large language models and vector-based retrieval systems.
Multi-Agent Systems: Exposure to multi-agent architectures and autonomous decision-making frameworks.
Advanced Image Processing: Work with image augmentation, manipulation, and similarity detection at scale.
What We Offer
A collaborative and fast-paced environment that values innovation and end-to-end ownership.
Opportunities to work on high-impact AI projects with cutting-edge technology.
Competitive compensation and benefits package.
Professional growth through challenging projects and continuous learning.
E-mail: job@meta-sistem.md
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