Remote Jobs

Broadvoice logo

Sales Engineer

Broadvoice

Location
Brazil
Posted

Manage sales engineering activities for Broadvoice's Contact Center solutions, leading pre-sales efforts and contributing to the company's growth in Colombia.

UpGuard logo

Sales Engineer

UpGuard

Location
Ireland
Posted

Join UpGuard as a Sales Engineer and support customers during trials and POCs, driving product activation and contributing to the sales process with excellent technical knowledge and customer service.

Nozomi Networks logo

Sales Engineer

Nozomi Networks

Location
Sweden
Posted

Sales Engineer for OT and IoT Cybersecurity at Nozomi Networks

Nozomi Networks logo

Sales Engineer

Nozomi Networks

Location
Denmark
Posted

Sales Engineer for OT and IoT Cybersecurity at Nozomi Networks

JustAnswer logo

Sales Engineer

JustAnswer

Location
United States of America
Posted

Join JustAnswer as a Sales Engineer to help clients integrate APIs and leverage AI solutions. Work remotely with a supportive team offering competitive pay, health benefits, wellness stipends, and more.

WatchGuard Technologies, Inc. logo

Sales Engineer

WatchGuard Technologies, Inc.

Location
Spain
Posted

Join us as a Sales Engineer to drive revenue growth by supporting and training channel partners on WatchGuard solutions. Collaborate with sales teams, provide technical expertise, and contribute to the success of our cybersecurity products in Southern Europe.

JumpCloud logo

Sales Engineer

JumpCloud

Location
United States of America
Posted
Salary Range
125k - 165k USD

Provide technical expertise to support JumpCloud's sales efforts, conducting product demonstrations and aligning solutions to customer needs. Join a remote-first team focused on IT Simplified.

Testlio logo

Sales Engineer

Testlio

Location
Cameroon
Posted

Join Testlio as a Sales Engineer and drive business growth with our world-class quality engineering software platform. Collaborate with customers, sales teams, and engineers to showcase our engine for quality products at scale.

Testlio logo

Sales Engineer

Testlio

Location
Brazil
Posted

Sales Engineer at Testlio: Collaborate with customers to showcase world-class quality engineering solutions using AI-powered platform

Retraced logo

Sales Engineer

Retraced

Location
Denmark
Posted

Sales Engineer at Retraced: Implement sustainable fashion tech solutions with a modern team

MariaDB plc logo

Sales Engineer

MariaDB plc

Location
Singapore
Posted

Sales Engineer at MariaDB plc in Singapore - drive deal closure and growth in APAC with expertise in database technology

Zepz logo

Global Clearing Specialist (Japanese Bilingual Support)

Zepz

Location
Philippines
Posted

Process and maintain manual bank transfers, review transactions for accuracy and fraud, provide expert support on payments, and improve clearing operations within our Payments Team.

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.