Remote Jobs

Awin Global logo

Retention & Growth Specialist (f/m/d)

Awin Global

Location
United Kingdom
Posted

Retention & Growth Specialist at Awin: lead customer retention and growth efforts, negotiate contracts, and collaborate with departments.

Wikimedia Foundation logo

Senior Movement Communications Specialist - Product & Tech

Wikimedia Foundation

Location
Anywhere in the world
Posted

Senior Movement Communications Specialist for the Wikimedia Foundation, crafting communications strategies and building trust between the Foundation and Wikimedia communities.

Kayzen logo

Technical Solution Specialist (m/f/d)

Kayzen

Location
Cameroon
Posted

Technical Solution Specialist for mobile demand-side platform Kayzen, providing expert guidance on integrating products into existing systems and ensuring customer satisfaction.

Kayzen logo

Technical Solution Specialist (m/f/d)

Kayzen

Location
Cameroon
Posted

Join Kayzen as Technical Solution Specialist and collaborate with cross-functional teams to provide expert guidance on integrating products into existing systems.

Kayzen logo

Technical Solution Specialist (m/f/d)

Kayzen

Location
India
Posted

Join Kayzen as Technical Solution Specialist and collaborate on integrating products into existing systems, debugging issues, and developing technical documentation.

Welocalize logo

French Classical Music Content Specialist - Remote

Welocalize

Location
France
Posted

French Classical Music Content Specialist - Curate and quality control high-volume music content with expertise in Classical music, multiple languages, and productivity software.

Sporty Group logo

Android Engineer

Sporty Group

Location
India
Posted

Join Sporty Group as an Android Engineer and develop impactful features for their mobile app. Collaborate with cross-functional teams, mentor less experienced team members, and contribute to the company's mission to create value for users.

WeLearn logo

Webinar Specialist (French and English Speaking)

WeLearn

Location
Cameroon
Posted

Webinar specialist needed for rapidly growing startup in North Africa, requiring French/English proficiency, digital marketing experience, and strong communication skills.

Consensys logo

Staff Software Engineer - MetaMask

Consensys

Location
Brazil
Posted
Salary Range
138k - 207k USD

Join MetaMask as an engineer and contribute to the development of user experiences across Portfolio dApp, Browser Extension, and Mobile platforms.

Canonical logo

Juju Software Engineer (Go)

Canonical

Location
Anywhere in the world
Posted

Remote Software Engineer position contributing to Juju project with Go expertise and experience in distributed systems

Welocalize logo

Machine Learning Engineer – Generative AI & NLP Specialist

Welocalize

Job Location

Job Summary

We are seeking a Machine Learning Engineer – Generative AI & NLP Specialist to design, develop, and implement cutting-edge AI-driven systems. The ideal candidate will have extensive experience in end-to-end machine learning lifecycles, large language models, and the ability to create scalable, secure, and efficient AI solutions. This role will focus on enhancing translation systems using advanced NLP techniques and Generative AI (GenAI). The successful candidate will work with a talented team to collaborate on impactful projects, contribute to groundbreaking research, and shape the future of AI. With flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company, this is an exciting opportunity for a seasoned founder or early tinkerer with AI. The role involves designing and optimizing translation systems, taking ownership of the machine learning pipeline, and ensuring compliance with security standards.

ROLE OVERVIEW

The Machine Learning Engineer – Generative AI & NLP Specialist to design, develop, and implement cutting-edge AI-driven systems. This role will focus on enhancing translation systems using advanced NLP techniques and Generative AI (GenAI). The ideal candidate will have extensive experience in end-to-end machine learning (ML) lifecycles, large language models (LLMs), and the ability to create scalable, secure, and efficient AI solutions.

KEY RESPONSIBILITIES

- Design and optimize translation systems leveraging advanced NLP and Generative AI (GenAI) techniques.
- Focus on delivering contextually accurate, multilingual solutions with domain-specific customizations to meet diverse client needs.
- Continuously improve performance using metrics like BLEU scores and human evaluation benchmarks.
- Take ownership of the entire machine learning pipeline, from prototyping and concept validation to scalable production deployment.
- Collaborate with cross-functional teams to align solutions with business objectives and ensure seamless integration.
- Implement monitoring frameworks to track model performance, detect anomalies, and ensure reliability in production.
- Automate pipelines for model retraining and fine-tuning to address data drift and maintain accuracy.
- Deploy highly scalable inference endpoints that handle concurrent requests efficiently while maintaining low latency.
- Ensure compliance with security standards, including encryption, access control, and API authentication.
- Develop well-documented APIs to enable seamless integration of GenAI capabilities into applications and external systems.
- Support API versioning and updates to meet evolving requirements.
- Work with vector and graph databases to enable efficient Retrieval-Augmented Generation (RAG) systems.
- Optimize data retrieval processes and evaluate RAG metrics, such as precision and relevance, to ensure high-quality results.

REQUIREMENTS

- Deep understanding of the full ML lifecycle, including development, training, deployment, and maintenance.
- Proficiency in tools like Weights & Biases (W&B) or MLflow to track and manage experiments.
- Strong Python programming skills, with expertise in ML libraries such as LangChain, LlamaIndex, PyTorch, TensorFlow, NumPy, SciPy, pandas, and scikit-learn.
- Experience designing APIs with industry best practices.
- Strong knowledge of large language models, including open-source and commercial implementations, and their practical applications.
- Basic experience in building or deploying AI agents for specialized tasks.
- Hands-on experience with vector and graph databases, including understanding metrics for evaluating RAG systems.
- Proficiency in cloud platforms, preferably Google Cloud Platform (GCP).
- Familiarity with Docker and containerization technologies.
- Proven ability to ensure that GenAI deployments are scalable, secure, and efficient.