Remote Jobs

ClassDojo logo

Staff Data Platform Engineer

ClassDojo

Location
United States of America
Posted
Salary Range
146k - 244k USD

Data Platform Engineer at ClassDojo: Collaborate on personalized learning experiences with cross-functional teams

MariaDB plc logo

Regional Account Manager

MariaDB plc

Location
United States of America
Posted
Salary Range
110k - 150k USD

Regional Account Manager at MariaDB: drive sales growth from current and new customers, own full sales cycle, and champion inside key accounts.

Contrast Security logo

Regional Sales Manager

Contrast Security

Location
France
Posted

Regional Sales Manager at Contrast Security - Sell application security software products & services to Fortune 2000 customers

Welocalize logo

Freelance QC Specialist - Spanish into English (UK)

Welocalize

Location
United States of America
Posted

Freelance QC Specialist - Spanish into English (UK) job description: Review layouts, titles, key points, formatting, numbers, and resolve terminology for translation companies.

Rackspace logo

Site Reliability Engineer / Observability Engineer

Rackspace

Location
Egypt
Posted
Salary Range
120k - 180k USD

Join Rackspace as an Observability Engineer to implement modern observability solutions using tools like Datadog, New Relic, or Splunk. Work on scalable systems, analyze performance data, and collaborate with teams to ensure system reliability. Enjoy benefits including unlimited PTO and flexible work options.

Moonpay logo

IT Engineer

Moonpay

Location
Mexico
Posted

IT Engineer at MoonPay: Develop automations & systems integrations across Core Business platforms, build custom apps & authentication services.

Canonical logo

NetSuite Engineer

Canonical

Location
Cameroon
Posted

Business Systems Engineer with NetSuite experience for Canonical in EMEA region

Welocalize logo

Machine Learning Engineer – Generative AI & NLP Specialist

Welocalize

Job Location

United Kingdom

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.