Remote Jobs

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Customer Education Specialist

AlphaSense

Location
United States of America
Posted
Salary Range
62k - 76k USD

Customer Education Specialist at AlphaSense: create user-centered content, drive data-driven approaches, and work remotely with a determined team.

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Junior SEO Specialist

KOHO

Location
Canada
Posted
Salary Range
60k - 70k CAD

Support KOHO's SEO strategy by creating and optimizing content for organic search, using tools like Ahrefs and Google Analytics to drive traffic and improve rankings. Collaborate with the marketing team to align efforts with overall goals.

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AI Product Manager (Web3 Games)

Seedify

Location
Philippines
Posted

AI Product Manager for UGC platform with expertise in generative AI, NLP, computer vision, and moderation systems.

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Full stack developer - AI Studio

Vonage

Location
Israel
Posted

Full stack developer for Vonage AI Studio, building AI platforms and conversational experiences

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Web3 Security Specialist

Binance

Location
Brunei Darussalam
Posted

Web3 Security Specialist at Binance: Research blockchain technologies, develop countermeasures, and collaborate with world-class talent.

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AI Data Annotator - Portuguese (Brazil)

Welocalize

Location
Brazil
Posted

Freelance AI Data Annotator - Perform rating and annotation tasks for AI development process in Portuguese (Brazil) and English.

Welocalize logo

Localization Quoting Specialist

Welocalize

Location
Argentina
Posted

Localization Quoting Specialist - Prepare quotes, communicate with clients, and deliver high-quality localization services to drive business growth.

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Business Development Specialist

Windranger

Location
Brunei Darussalam
Posted

Join FBTC as Business Development Specialist & support BD strategies, manage partnerships & contribute to DeFi ecosystem growth

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AI Response Evaluator - French (Cameroon)

Welocalize

Location
Cameroon
Posted

Freelance AI Response Evaluator - Work remotely, evaluate responses to customer questions, and contribute to advancing AI technologies.

Binance logo

KYB COE Specialist

Binance

Location
Brunei Darussalam
Posted

KYB COE Specialist for Binance, developing SOPs for KYC processes, ensuring regulatory compliance and operational efficiency.

Binance logo

KYC COE Specialist

Binance

Location
Brunei Darussalam
Posted

KYC COE Specialist needed for financial services or cryptocurrency industry with 5+ years of compliance experience

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.